parallel-plan

name	parallel-plan
description	Prepare a set of thematically unrelated items for concurrent execution before any execution begins - item intake over issue numbers and potential-entry paths, concurrent preparation-mode child orchestrator delegations, blast-radius computation and V1-V3 validation, cohort seeding with a recomputation-parity check, run-manifest and planner-checkpoint authoring, and the parallel-orchestrator kickoff artifact.
argument-hint	[items: issue numbers and/or potential-entry paths]
context	fork
agent	parallel-planner

Parallel Plan Skill

A user invocation (/parallel-plan <slug> <item> [<item> ...]) forks the parallel-planner agent with this procedure in context. The run slug and item list for this run are:

$ARGUMENTS

This skill frames work for the parallel-planner agent, parallel to how .claude/skills/epic-plan/SKILL.md frames work for epic-planner. The parallel surface schedules thematically unrelated items by computed blast-radius contention: there is no worthiness assessment, no operator-supplied ordering, and no shared branch into which item work merges. Planning ends at preflight clearance and cohort seeding; no atomic execution, PR authoring, or CI monitoring occurs under this skill.

Prerequisites

Before proceeding, parallel-planner must:

1. Read CLAUDE.md for repository tone policy and architectural context.
2. Read applicable .claude/rules/ files for the languages in scope, including .claude/rules/parallel-orchestration.md, which is the schema authority for the run manifest, both parallel checkpoints, and the nine parallel enums.
3. Read the policy files listed in the compliance reading order section of CLAUDE.md.

Item Intake

Invocation shape: /parallel-plan <slug> <item> [<item> ...], where each <item> is either a GitHub issue number (already-promoted work) or a potential-entry path (unpromoted work). This is the same intake domain as /parallel-add, so initial intake here and F6's add operation accept identical forms.

• Promotion. Unpromoted items are promoted by their own preparation-mode child, not by the planner. The preparation route already carries the promotion MCP tools (new_potential_entry, potential_to_issue, new_active_feature_folder).
• issue_num resolution. issue_num is the primary key for every item reference. It is known at intake for issue-number items. For potential-entry items, record negative placeholders in intake order (-1, -2, ...) and back-fill the real number from each child's promotion receipt as preparation completes. Ordering is safe by construction: cohort seeding requires declared radii, radii require approved plans, and plans require promotion, so every placeholder resolves before seeding runs.
• Fully resolved before kickoff. The manifest is committed in fully resolved form — no negative issue_num remaining — before the kickoff artifact is written.
• feature_folder. Recorded at intake as a resolvable-hint basename, then resolved to a concrete docs/features/active/<basename> path after promotion with any lifecycle prefix stripped, per the epic-orchestrate convention. The concrete location is additionally fixed by the per-item branch_name recorded in the checkpoint.
• kind. Record kind: feature | bug at intake from the item source (issue labels, or the potential entry's declared kind). When the source is indeterminate, default to feature and note the choice [recommendation, not upstream-constrained].

The operator is never asked for ordering edges, cohort assignments, or a worthiness verdict. Intake proceeds directly to preparation fan-out.

Preparation Fan-Out

One preparation-mode Agent(orchestrator) run per item. Preparation produces documents and plans rather than code, and items carry no ordering constraint, so preparations may run concurrently — but they are BOUNDED, not unbounded.

Launch preparations in waves of at most max_concurrency. Compute the waves with the same deterministic chunker the execution phase uses:

bash .claude/lib/bash/compute-concurrency-batches.sh --keys "<all item keys>" --max-concurrency <n>

(already granted to this agent at .claude/agents/parallel-planner.md:18). It prints a compact JSON array of arrays, returns the batches in order, and sorts the keys itself, so wave membership does not depend on caller ordering. Launch wave k as one message carrying that wave's Agent calls, each isolation: "worktree" and run_in_background: true. Create each preparation worktree's branch from origin/main. Launch wave k+1 only after every child of wave k has TERMINATED — not merely reported progress. All of this happens inside a single /parallel-plan invocation with no operator action between waves.

The bound is max_concurrency itself, and no new knob is introduced. A preparation child and an execution child are the same workload class — one background orchestrator per item — so the operator's declared appetite for concurrent children applies to both phases. At the motivating scale, max_concurrency: 13 over 69 items runs ceil(69 / 13) = 6 waves.

A max_preparation_concurrency manifest key was considered and is explicitly NOT adopted now. Such a key would carry the same 1..32 bounds and the same boolean rejection as M4 and would default to max_concurrency. It is deferred because no evidence yet shows the two phases need different caps, and adding a second knob would force every operator to reason about two numbers where one suffices. Revisit it only if a real run shows preparation and execution have materially different concurrency profiles.

/parallel-add is NOT the intake path. It performs incremental admission into an already-running open-mode queue: exactly one item per invocation, with a single sequential preparation child. Preparing 69 items through it would take 57 or more separate operator invocations after the initial plan. Use /parallel-plan for intake and /parallel-add only to admit an item into a run that is already in flight.

Each delegation prompt includes this literal kickoff line, followed by the model-budget marker line:

Preparation mode: true. route_id: preparation. parallel_slug: <slug>. Perform promotion, research, feature documents (spec.md, user-story.md), atomic planning, and preflight clearance only. Atomic execution, PR authoring, and CI monitoring are out of scope for this run and are executed later by parallel-orchestrator. After the atomic-executor preflight returns PREFLIGHT: ALL CLEAR, commit the feature folder and plan to the current branch, push the current branch to origin, set out-of-scope step statuses to not-applicable, set next_step to S5_atomic_execution, and stop, reporting the plan-path and preflight status.

model_budget.fable_policy: <disabled|available|preferred>.

Properties of that line, each individually load-bearing:

• The markers Preparation mode: true. and route_id: preparation. are reused verbatim. Route selection is marker-driven, so no issuer identity is required.
• parallel_slug: <slug>. replaces the epic context fields.
• The push instruction is an addition to the planner's own prompt, not to the child contract text in .claude/skills/orchestrate/SKILL.md. It is required so each item's prepared work is durable before its worktree is removed.
• Downstream attribution reads "executed later by parallel-orchestrator". The planner authors its own prompt; the orchestrate skill text is untouched.
• The model_budget.fable_policy marker line is appended per the pattern in .claude/skills/epic-orchestrate/SKILL.md ## Model Selection. The default is disabled when the marker is absent.

Deliberate omissions. The kickoff line above carries neither mode marker. It contains no Epic mode: true, so enforce-epic-wave-barrier.ps1 — which gates execution-phase delegations — does not apply to preparation. It contains no Parallel mode: true, so F7's future cohort-barrier hook, which matches that marker, will not gate preparation either. Both omissions are intentional and must be preserved verbatim when the line is emitted.

No edit to shared surfaces. No edit is made to .claude/skills/orchestrate/SKILL.md or to config/orchestration-routing.json, including the preparation route. The route mechanism is marker-driven; the child contract's "commit ... to the current branch" wording is satisfied by a branch created off origin/main; and routes.preparation declares no epic-specific required agent, skill, or MCP tool.

Collected per child at termination: plan-path, preflight status, the promotion receipt (the issue_num back-fill source), the model-routing receipt with logical_agent: "orchestrator", the topology receipt, branch_name, and worktree_path. There is no fan-in merge step: the planner fetches and records each pushed item branch, back-fills issue_num into the manifest on parallel/<slug>-plan, and updates the checkpoint.

Artifact Home

Per-item artifacts. Each item's prepared feature folder and approved atomic plan live on that item's own feature branch, created from origin/main at preparation time, committed by the unchanged route_id: preparation terminal step, pushed to origin before its worktree is removed, and reused unchanged as the item's execution branch. Record branch_name and worktree_path per item in the checkpoint.

Run-level artifacts. docs/features/parallel/<slug>/parallel.md (the run manifest) and docs/features/parallel/<slug>/parallel-kickoff.md (the durable kickoff copy) live on the planner-owned branch parallel/<slug>-plan, created off origin/main and pushed. That branch is explicitly not an integration branch: no item branch ever merges into it, it never merges into any item branch, and it holds only docs/features/parallel/<slug>/**, a subtree no item's blast radius may include. Each item opens its own pull request against main.

Read access. Readers — validators and the future parallel-orchestrator — reach both artifact classes by ref: git fetch origin <branch> followed by git show <ref>:<path>, without checking the ref out, per the technique documented in .claude/skills/epic-run/SKILL.md.

Three residual risks are recorded rather than eliminated:

1. Stale execution base. An item branch created at preparation time is based on an older main tip by the time its cohort executes. Mitigation is F5-owned (the execution-phase child merges origin/main at start, and cohort construction keeps peers non-conflicting); real overlap is caught by F8 drift detection. This skill records the branch-reuse contract only.
2. Branch accumulation on withdrawal. Withdrawn or abandoned items leave pushed preparation branches. F6's --disposition abandon path is expected to delete the branch; the cleanup expectation is recorded here so F6 can implement it.
3. Per-branch git-integrity requirement — F4-owned. The readiness gate's git-integrity check must verify committed plan blobs against each per-item branch ref plus the parallel/<slug>-plan ref, rather than against a single shared ref. This obligation belongs to the planner surface, not to the schema feature: .claude/rules/parallel-orchestration.md states that F3's require_ready_for_execution gate is structural only and leaves git-integrity checks, launch-evidence binding, and kickoff-contract cross-checks to F4.

Radius Computation and Validation

Reach blast-radius derivation, validation, and contention through the destination-runtime PowerShell port under .claude/lib/blast-radius/, which is published by push-down and needs no Python interpreter:

Import-Module .claude/lib/blast-radius/BlastRadius.psm1 -Force

The facade re-exports the five functions this skill needs: Get-PlanPaths (port of extract_plan_paths), Get-BlastRadius (port of derive_blast_radius), Get-BlastRadiusFromObservedPaths (port of radius_from_observed_paths), Test-BlastRadius (port of validate_blast_radius), and Test-BlastRadiusConflict (port of conflicts). Wrap a call to Test-BlastRadius in @(...): it writes its findings to the pipeline, so a zero-element result writes nothing and a one-element result writes a single object.

The truth table the port reads is config/blast-radius.json, which push-down publishes into the destination workspace alongside .claude.

The Python modules named below remain the repository authority and the parity reference; they are cited for their contract, not invoked on the destination-runtime path. Landed contract, consumed as-is and never reimplemented here:

• Derivation. derive_blast_radius(plan_text, spec_text, feature_folder, config, *, source, computed_at) -> BlastRadius in scripts/dev_tools/compute_blast_radius.py. It takes the approved atomic plan's document text and the feature spec.md's document text, the feature folder name, and the parsed config/blast-radius.json truth table. It does not take file paths: read the documents and pass their text.
• Serialized shape. BlastRadius.to_dict() yields exactly the key set ("paths", "modules", "shared_surfaces", "contracts", "source", "computed_at"), which is the shape both the manifest and the checkpoint record.
• Validation. validate_blast_radius(radius, plan_text, config, *, tracked_file_count) in scripts/dev_tools/_blast_radius_validation.py returns findings over three rules: RULE_COVERAGE = "V1", RULE_SHARED_SURFACE = "V2", and RULE_OVER_BREADTH = "V3". Each finding carries a severity of Blocking or Advisory.
• Contention. conflicts(a, b, config) -> ConflictResult, re-exported from compute_blast_radius.py. The signature takes three arguments; the third is the parsed config/blast-radius.json. Reasons come from the fixed vocabulary {path_overlap, module_overlap, shared_surface_overlap, contract_dependency}, and the relation fails closed.

The F1a corrections (issue #452, merged PR #453) are load-bearing. Derivation now reaches separator-free repository-root shared surfaces from plan and spec text, admitting such a token only as an exact ordinal member of the configured shared_surfaces list in config/blast-radius.json; and the contention path comparison now honours listed-directory prefixes on both sides, aligning with is_path_subsumed. Both corrections move results in the fail-closed direction — they report more contention, not less. Do not work around either correction, and do not narrow a radius in order to suppress a conflict edge they produce.

Planner procedure

1. After an item's plan is approved and preflight-clear, read the approved plan text and the feature spec.md text, derive the radius with source: "declared", and record it on the item. The declared radius is the authoritative input to scheduling.
2. Validate the radius and record the findings under the item's radius_validation entry.
3. V1 (coverage) or V2 (shared-surface enumeration) Blocking failure. The item does NOT transition to prepared. Record the findings in the checkpoint and issue a follow-up preparation-mode delegation for that item carrying the findings as plan-revision instructions — the same iterate-until-clear posture the child already applies to preflight. The item is re-planned, not rejected. Withdrawal is a caller decision made through F6's remove operation and is never a planner default.
4. V3 (over-breadth) Advisory. Record it in the checkpoint and surface it in the completion report. It has no state effect.
5. Readiness conjunction. prepared requires BOTH preflight_status == "PREFLIGHT: ALL CLEAR" AND a declared radius that passed V1 and V2.

Derivation, the V1-V3 rules, and the contention relation are implemented upstream. This skill calls them; it defines none of them.

Cohort Seeding

Reach cohort computation through the destination-runtime bash entry point under .claude/lib/bash/, which is published by push-down and needs no Python interpreter:

bash .claude/lib/bash/compute-cohorts.sh --keys "<k1> <k2> ..." --edges "<a>:<b> <a>:<b> ..."

--edges is optional; omitting it, or passing an empty string, means the conflict graph has no edges. The entry point prints a compact JSON array of arrays on stdout, identical to Python json.dumps(..., separators=(",", ":")). On malformed input it prints the reference implementation's exact message on stderr and exits 1; a token outside the accepted integer lexis -?(0|[1-9][0-9]*) is rejected fail-closed with exit 2.

Landed contract, mirrored byte for byte by the bash entry point:

• compute_cohorts(item_keys, conflict_edges) -> list[list[int]] in scripts/dev_tools/parallel_cohort_computation.py is the repository authority and the parity reference. The signature accepts exactly two parameters, item_keys: Iterable[int] and conflict_edges: Iterable[tuple[int, int]]. There is no third parameter and nothing further to supply at seeding time.
• The return value is a plain list of lists in deterministic Welsh-Powell order: vertices are visited by the composite key (-degree, item_key) ascending — descending distinct-neighbour degree with ties broken by ascending item key — and each vertex takes the lowest cohort index not already held by one of its neighbours.
• Recoloring support belongs to F6 and F8, which is why the landed seeding signature needs no additional state input.

Mapping to the recorded shape. This planner maps the returned list of lists into the F3-owned cohorts[] object shape, supplying index from the outer-list position and generation: 0 itself. The library returns the partition; the planner supplies the record fields.

Seeding procedure

1. Invoke compute-cohorts.sh exactly once per plan run, over the full conflict graph, after every item is prepared and radius-validated. Derive the conflict edge set by applying Test-BlastRadiusConflict to every unordered pair of declared radii, then pass the pairs as --edges "<a>:<b> ..." and the item keys as --keys "<k1> <k2> ...".
2. Immediately after the conflict-edge set is derived and before anything consumes it, run the lane-assertion diagnostic: poetry run python -m scripts.dev_tools.parallel_lane_assertion --manifest docs/features/parallel/<slug>/parallel.md --edges "<a>:<b> ..." (covered by the planner's existing Bash(poetry run *) grant). It compares the manifest's optional expected_conflict_components assertion (invariant M8) against the connected components of the DERIVED conflict graph and prints one ADVISORY line per finding in four classes: expected-together-but-derived-apart, expected-apart-but-derived-together, a member naming no manifest item, and — informational only — a manifest item covered by no expected component. The diagnostic is ADVISORY ONLY. It never blocks the run, never modifies or suppresses a derived edge, never feeds compute_cohorts, and never influences scheduling. It always exits 0, including when it reports disagreements. A disagreement is a signal to re-examine the blast radii; it is never a licence to narrow a radius to suppress an edge, which stays prohibited. When the manifest carries no expected_conflict_components key the diagnostic still runs and reports every item as uncovered, which is the expected output for a run with no assertion. Recording the diagnostic's result in the planner checkpoint is a tolerated extra field, not a validated one; no validator changes for it.
3. Record cohorts[] at generation: 0, each cohort's item_keys[] sorted ascending.
4. Record conflict_edges[] as {a, b, reason} entries for auditability.
5. Record recolor_generation: 0 and current_cohort: 0.
6. Record max_concurrency — default 4, bounded 1 through 32 by the F3 schema — without enforcing it. Enforcement is F5's, through bash .claude/lib/bash/compute-concurrency-batches.sh --keys "<k1> ..." --max-concurrency <n> (the bash port of compute_concurrency_batches(cohort_item_keys, max_concurrency)), which fills slots in ascending item-key order. Recoloring under add, remove, or drift mutation is F6 and F8 scope. This skill performs seeding only.

Recomputation parity (planner-owned check)

Planner invariant P5 in .claude/rules/parallel-orchestration.md is deliberately absent from the F3 validator and states that recomputation parity against the cohort-computation module is the planner-surface feature's check — the analogue of the epic planner's wave-number cross-check. This skill discharges that obligation as documented procedure, not as a new module:

1. After writing cohorts[] into the checkpoint and before emitting the kickoff artifact, re-invoke compute_cohorts over exactly the item_keys and conflict_edges recorded in the checkpoint.
2. Assert that the recomputed list of lists maps to exactly the recorded cohorts[] at generation: 0: the same partition, the same index assignment, and the same ascending item_keys[] ordering.
3. A mismatch is a Blocking condition. Stop the run and report the mismatch. Do not auto-correct the recorded cohorts, and do not emit the kickoff artifact.

No production module is added for this check; it is a re-invocation of the landed library.

Manifest Authoring

Write docs/features/parallel/<slug>/parallel.md conforming to the F3-owned frontmatter schema recorded in .claude/rules/parallel-orchestration.md (manifest invariants M1-M8):

• parallel — the run slug, a non-empty string.
• mode — closed or open; defaults to closed when absent.
• max_concurrency — an integer from 1 through 32; defaults to 4 when absent.
• created_at — a non-empty ISO-8601 string.
• items[] — one entry per item, each carrying issue_num (a positive integer, unique across items), feature_folder (a non-empty string), kind (feature or bug), state, and blast_radius carrying paths, modules, shared_surfaces, contracts, source: "declared", and computed_at.
• expected_conflict_components[] — OPTIONAL (invariant M8). A block sequence of objects, each carrying a required non-empty members list of positive issue_num integers that resolve to declared items, with no item in two components, plus an optional non-empty-string name used as a diagnostic label only. A flow-style value (members: [101, 102]) is outside the bash YAML subset and must not be authored. The field is an ASSERTION consumed by the advisory lane diagnostic in ### Seeding procedure: it never overrides a derived edge, never feeds compute_cohorts, and never influences scheduling.

The manifest carries no depends_on field at any level and no top-level integration_branch field; both are prohibited-key rejections in the schema. Commit it to parallel/<slug>-plan in fully resolved form — every negative placeholder issue_num replaced by its promoted number — before the kickoff artifact is written.

Validate the manifest with the destination-runtime bash entry point, which is published by push-down and needs no Python interpreter:

bash .claude/lib/bash/validate-parallel-manifest.sh <manifest-path>

It prints validation errors one per line on stdout and exits 0 for a valid manifest, 1 for an invalid one, and 2 for an unreadable file or a YAML construct outside the supported subset. The two default-resolving accessors are subcommands of the same entry point:

bash .claude/lib/bash/validate-parallel-manifest.sh --print-mode <manifest-path>
bash .claude/lib/bash/validate-parallel-manifest.sh --print-max-concurrency <manifest-path>

They resolve the documented defaults closed and 4 when the manifest omits the key or carries a malformed value. Consume mode and max_concurrency through these accessors rather than reading the frontmatter directly.

scripts/dev_tools/parallel_manifest_contract.py (validate_parallel_manifest_text, manifest_mode, manifest_max_concurrency) remains the repository authority and the parity reference. Manifest validation is deliberately not an MCP artifact_type; do not attempt to validate the manifest through mcp__drm-copilot__validate_orchestration_artifacts.

Checkpoint Persistence

Write artifacts/orchestration/parallel-planner-state.json after every completed step.

Top-level fields: objective, parallel_slug, parallel_manifest_path, mode, max_concurrency, plan_home_branch (parallel/<slug>-plan), items[], cohorts[], conflict_edges[], recolor_generation, kickoff_prompt_path (artifacts/orchestration/parallel-kickoff-<slug>.md), completed_steps, next_step, and last_updated. F3's landed required-key set (planner invariant P1) is a strict subset of this list, and plan_home_branch is a permitted additional field.

Per item: issue_num, feature_folder, kind, state, complexity_band, preparation_status, research_path, plan_path, preflight_status, branch_name, worktree_path, blast_radius (with source: "declared"), radius_validation (the v1, v2, and v3 results with their severities), model_routing_receipt, and topology_receipt.

Deliberately absent: any epic_worthiness analogue, any depends_on field, and any wave field. The parallel surface renders no worthiness verdict and expresses ordering only as blast-radius overlap.

Readiness contract. Before reporting completion the checkpoint must satisfy F3's require_ready_for_execution gate: at least two items (invariant P6); every item preparation_status: prepared with preflight_status exactly PREFLIGHT: ALL CLEAR, non-empty research_path and plan_path, and blast_radius.source == "declared" (P7); next_step exactly the ready sentinel PARALLEL_EXECUTION_READY (P8); and kickoff_prompt_path exactly artifacts/orchestration/parallel-kickoff-<slug>.md (P9).

Git integrity is F4-owned. F3's require_ready_for_execution gate is structural only, so verifying that each item's committed plan blob exists on that item's pushed branch ref — and that the manifest and durable kickoff exist on the parallel/<slug>-plan ref — is this planner surface's obligation, layered behind the planner's own check without changing the F3 schema. Perform it with git cat-file -e <ref>:<path> and git show <ref>:<path> against each per-item branch ref plus parallel/<slug>-plan.

Cache doctrine. The checkpoint is a cache of durable state, not the source of truth. On resume, re-derive ground truth from git branch, git worktree list --porcelain, and the pushed refs. Where the checkpoint and the repository disagree, the repository wins and the checkpoint is rewritten from it.

Validate the checkpoint through mcp__drm-copilot__validate_orchestration_artifacts with artifact_type: "parallel-planner-state" before reporting completion.

F3 Ownership Boundary

The following surfaces are owned by the schema-and-validator feature (F3). This planner writes conforming instances and consumes the fixed enums; it never extends or redefines them:

• The manifest schema and the planner-checkpoint schema, recorded as prose invariants in .claude/rules/parallel-orchestration.md, together with all nine parallel enums.
• scripts/dev_tools/validate_parallel_planner_state.py and scripts/dev_tools/validate_parallel_orchestrator_state.py.
• The two state MCP artifact_type values parallel-planner-state and parallel-orchestrator-state.
• The route_id: parallel entry in config/orchestration-routing.json.

The kickoff contract is not F3-owned. scripts/dev_tools/parallel_kickoff_contract.py and the MCP artifact_type: "parallel-kickoff" are F4-owned and are delivered by this feature, per the epic-manifest adjudication "Planner Adjudication: the kickoff-contract boundary (F3 / F4)" and the matching "F3 Scope Boundary — kickoff contract deferred to F4" section of .claude/rules/parallel-orchestration.md. Both are landed modules, not a recommendation carrying a pending contingency.

The single-item-run floor question is resolved by F3's landed ready-gate invariant P6, which requires at least two items under require_ready_for_execution. A one-item run cannot reach a ready checkpoint.

Kickoff Artifact

Write the working copy to artifacts/orchestration/parallel-kickoff-<slug>.md (a gitignored tree) and commit a byte-identical durable copy to docs/features/parallel/<slug>/parallel-kickoff.md on parallel/<slug>-plan.

# Parallel Kickoff: <slug>

Planned by parallel-planner on <iso8601>. All items are prepared: promoted, active folders created,
research complete, spec and user-story written, atomic plans approved, preflight ALL CLEAR, blast
radii declared and V1/V2-clear. Planning state:
artifacts/orchestration/parallel-planner-state.json (run branch: parallel/<slug>-plan).

## Invocation Prompt

Run `/parallel-run <slug>` to execute this run, or paste the prompt below.

Use the parallel-orchestrator subagent to execute the prepared run whose manifest is
docs/features/parallel/<slug>/parallel.md on the plan-home branch parallel/<slug>-plan. Each item
resumes at atomic execution from its committed plan-path on its own pushed feature branch rather
than re-planning, and each item opens its own pull request against main.

## Item Summary

| issue_num | feature_folder | cohort | complexity | branch | plan-path |
| --- | --- | --- | --- | --- | --- |
| ... | ... | ... | ... | ... | ... |

## Integrity

planning_commit: <hex>

| plan-path | plan-hash |
| --- | --- |
| ... | ... |

Structural requirements enforced by the contract module:

• The first line is exactly # Parallel Kickoff: <slug>, with the slug matching [a-z0-9][a-z0-9-]*.
• ## Invocation Prompt must name Run `/parallel-run <slug>`, the manifest path docs/features/parallel/<slug>/parallel.md, the plan-home branch parallel/<slug>-plan, and the resume-boundary sentence stating that each item resumes at atomic execution from its committed plan-path on its own pushed feature branch.
• ## Item Summary is a strict pipe table with the exact ordered headers issue_num | feature_folder | cohort | complexity | branch | plan-path and at least one data row. issue_num and cohort are integers; complexity is one of C1, C2, C3, C4.
• ## Integrity is optional. When present it carries a planning_commit: field holding the head commit of parallel/<slug>-plan as run-level provenance and a per-item plan-path | plan-hash table whose hashes are 40 to 64 hex characters with no repeated plan path.

Validate the artifact through mcp__drm-copilot__validate_orchestration_artifacts with artifact_type: "parallel-kickoff". That artifact type dispatches to scripts/dev_tools/parallel_kickoff_contract.py, which this feature delivers.

Completion Report

The final report to the operator must include:

• The manifest path docs/features/parallel/<slug>/parallel.md and the run branch parallel/<slug>-plan.
• Per item: one plan-path: line, the branch name, the preflight status, and the radius-validation result, including any V3 Advisory findings.
• The cohort table at generation 0, together with the result of the recomputation-parity check.
• The lane-assertion diagnostic's result: the derived conflict-component count, the disagreement count, and every ADVISORY line it emitted. This line-item is REQUIRED and is reported even when the manifest carries no expected_conflict_components assertion and even when the diagnostic found nothing, so its silence is never ambiguous. Report it as advisory information: it does not gate the report, does not change the cohort table, and no finding is escalated to Blocking.
• Both kickoff artifact paths: artifacts/orchestration/parallel-kickoff-<slug>.md and docs/features/parallel/<slug>/parallel-kickoff.md.

End with the statement that execution has NOT started and begins only when the operator runs /parallel-run <slug> or replays the kickoff prompt from the main session.