Coordinate multiple coding-agent CLIs headlessly, plus in-session harness subagents. Use for staged or parallel jobs across Claude Code, Codex, AgentKit skill runs, internal harness subagents (Agent tool via runtime: internal or --internal), and external CLIs (OpenCode, Copilot, Cursor, Cline, Qwen Code, Grok, Kimi) with task-based model routing, OS-aware dispatch, worktree-isolated parallel writes, resumable run state, capture, safety gates, and an arbiter review.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
Coordinate multiple coding-agent CLIs headlessly, plus in-session harness subagents. Use for staged or parallel jobs across Claude Code, Codex, AgentKit skill runs, internal harness subagents (Agent tool via runtime: internal or --internal), and external CLIs (OpenCode, Copilot, Cursor, Cline, Qwen Code, Grok, Kimi) with task-based model routing, OS-aware dispatch, worktree-isolated parallel writes, resumable run state, capture, safety gates, and an arbiter review.
user-invocable
true
when_to_use
Invoke when work should be split across headless coding-agent runtimes or in-session harness subagents, routed to best-fit models per task type, or run as isolated job prompts and then reviewed before handoff.
Coordinate headless coding-agent jobs across Claude Code, Codex, AgentKit
skill runs, in-session harness subagents (runtime: internal), and
preflight-gated external CLIs. This is a skill-level coordinator, not a new
ak command. It uses existing runtime CLIs, ak run surfaces, and the current
harness's Agent tool, routes each job to the best-fit model for its task type,
records every job result, and requires an arbiter pass before reporting
success.
Inputs
Accepted forms:
/ak:orchestrate "research three implementation options and compare them"
/ak:orchestrate "compare the auth options" --internal
/ak:orchestrate plans/orchestrate-jobs.yaml
/ak:orchestrate plans/orchestrate-jobs.yaml --yes
/ak:orchestrate --resume plans/reports/orchestrate-<timestamp>
Use a YAML job spec for repeatable runs. For free-form requests, first write a
temporary job spec under plans/reports/orchestrate-<timestamp>/jobs.yaml and
then execute it.
--internal is a routing preference, not a hard mode: for free-form requests
and spec jobs with no explicit runtime:, prefer runtime: internal
(in-session subagent dispatch) and fall back to CLI runtimes only when a job
needs a different model family, an OS-level sandbox, or a harness the current
session cannot provide. Jobs that pin a runtime: explicitly are never
overridden by --internal.
Pipeline
Intake
Read the request or job spec.
Identify the workspace root, runtime prerequisites, destructive intent,
expected outputs, and any dependencies between jobs.
Refuse to run jobs that would require secrets in prompts, logs, or reports.
Plan and route jobs
Convert simple lists into sequential jobs.
Use depends_on to form stages; jobs in the same stage may run in
parallel up to the chosen concurrency cap.
Classify each job's task (scout, architecture, implement, review, test,
docs, mechanical) and pick runtime + model per
model-routing.md: fan-out work gets
fast-cheap models, synthesis and judgment get frontier models, and
review/audit/security jobs (including the arbiter) route to gpt-5.5
first with as the availability fallback.
opus
Prefer first-class runtimes (internal, claude-code, codex,
ak-run); use external runtimes for capacity, cost routing, or when a
model is only reachable there, and give each external job a
fallback_runtime chain. Weigh harness strengths per
harness-profiles.md.
For runtime: internal jobs, pick the subagent per
internal-routing.md: the job's agent:
field wins; otherwise map the task class to the preferred installed
agent, falling back to general-purpose. Model routing does not apply —
the agent definition owns its model.
Mark expensive-to-fail implement jobs importance: high (public
contracts, security-sensitive paths, cross-module changes) so routing
rule 7 escalates them to opus or gpt-5.5 with raised reasoning
effort.
Set isolation: worktree on every writing job that runs in parallel
with another writing job in the same repository, and on any writing job
assigned to an all-or-nothing approval harness.
Write each prompt to name the skill(s) the agent should use for its task
type with a concrete path (harness-profiles "Harness Enablement") — do
not rely on auto-discovery in headless one-shots.
Assign explicit cwd, timeout, capture directory, and expected output.
Preflight
Probe every distinct runtime once (<binary> --version); record results
and the host OS in <run-dir>/runtimes.json, then apply the OS notes in
runtime-matrix "OS Awareness" (install channels, sandbox strength,
prompt quoting, timeout mechanism).
For runtime: internal, the probe is agent availability, not a binary:
list the agent types the current harness exposes (Agent tool list,
~/.claude/agents/, project .claude/agents/) and record them in
runtimes.json. A named agent: that is missing falls back per
internal-routing.md (substitute agent, then general-purpose, then
fallback_runtime).
Check harness enablement for each target runtime: rules file present
(CLAUDE.md / AGENTS.md / .clinerules per harness-profiles) and kit
skills installed. Offer ak kit init <kit> --target <runtime> /
ak update --kits <kit> as a visible setup step — never install
silently.
Re-route jobs whose runtime is missing to their first available
fallback_runtime (model re-picked per task); mark them blocked when
no fallback is available.
For agy, also confirm the CLI is authenticated — its first-launch OAuth
is interactive and would hang a headless job.
Safety gate
Confirm the target cwd for each job.
Default to non-bypass permission modes.
For destructive: true or detected write/deploy/release intent, stop for
confirmation unless the user passed --yes.
Never use a bypass flag by default on any runtime: Claude Code
--dangerously-skip-permissions, Codex
--dangerously-bypass-approvals-and-sandbox, Copilot --allow-all-tools,
Cursor --force, Cline --yolo, Qwen --yolo, Grok --always-approve,
agy --dangerously-skip-permissions.
Kimi and Cline headless modes are auto-approved by default; give them
read/report work or an isolated cwd only, and set
CLINE_COMMAND_PERMISSIONS deny globs for Cline.
Internal jobs run under the current session's permission mode — there is
no per-job sandbox flag. A writing internal job that runs in parallel
with any other writing job requires isolation: worktree, and its
isolation is prompt-level (the subagent is instructed to stay inside its
worktree), weaker than an OS sandbox. Route destructive: true jobs to a
sandboxed CLI runtime instead of internal.
Dispatch
Start independent jobs in parallel only when their file ownership and
outputs do not overlap, or each writing job has its own worktree.
Create worktrees for isolation: worktree jobs before dispatch and point
each job's cwd at its worktree (see "Worktree Isolation").
Update <run-dir>/state.json on every job transition so an interrupted
run can resume (see job-spec "Run State and Resume").
Capture stdout, stderr, exit status, wall time, generated artifacts, and
the exact command line with secrets redacted.
Dispatch runtime: internal jobs through the harness Agent tool (one
subagent per job, parallel jobs in one batch up to concurrency). The
subagent's final text is the capture: write it to <job-id>/result.md
and record the agent type in status.json (exitCode: null) — there is
no stdout/stderr/command line. Prompt contract per internal-routing.md.
Mark timeout or failed jobs as failed; do not retry silently.
Arbiter review
After all jobs settle, run a separate review pass.
Compare outputs with expected_output.
Run any checks listed in the job spec.
Flag contradictions, unverified claims, missing artifacts, and failed
checks. Do not summarize an unverified result as complete.
Include per-job status, artifacts, errors, arbiter verdict, commands to
reproduce, worktree diffs pending integration, and unresolved questions.
Append one metrics line per finished job to the cross-run history (see
"Metrics and Self-Improvement").
Runtime Matrix
Before dispatching, read runtime-matrix.md.
It records the current headless command shape and the documentation URLs checked
on 2026-07-05.
First-class (dispatch after the safety gate):
internal: in-session subagent dispatch through the current harness's
Agent tool — no subprocess, no extra CLI install. Agent selection, capture
mapping, and limits per
internal-routing.md.
claude-code: claude -p print mode with model, output format, and
permission flags.
codex: codex exec with model, working directory, sandbox, approval, JSON,
and final-message output flags.
ak-run: ak run <kit>/<skill> --target <runtime> --timeout <duration>.
External (best-effort; dispatch only after the preflight probe succeeds):
opencode (opencode run), copilot (copilot -p), cursor (agent -p),
cline (cline "<prompt>"), qwen-code (qwen -p), grok (grok -p),
kimi (kimi -p), and agy (agy -p, doc-verified but execution-gated
per ADR-0017).
External status here is skill-level dispatch only; it does not change any
runtime's AgentKit adapter status in the conformance matrix.
Not dispatchable: gemini-cli (rejected, ADR-0017); omp is provisional —
see the matrix before assigning it a job.
Route by task class: fast-cheap models for scouting/docs/mechanical fan-out,
balanced models for implementation and tests, frontier models for
architecture and review.
Review, audit, and security jobs (including the arbiter) route to gpt-5.5
first and fall back to opus when Codex is unavailable — never fable for
this class. Among available fallbacks, prefer a different model family than
the producers.
importance: high implement jobs escalate to opus or gpt-5.5 with
raised reasoning effort (codex -c model_reasoning_effort="high", xhigh
where the model supports it).
Never budget-route judgment jobs, never route to deprecated model IDs, and
record the exact resolved model in each job's command.txt.
Runtime (harness) choice is a separate decision from model choice — weigh
sandboxing, tool gating, budgets, and capture quality per
harness-profiles.md.
Model routing applies to CLI runtimes only. runtime: internal jobs use the
model fixed by the agent's own definition (frontmatter); the coordinator picks
the agent, not the model. When a job needs a specific model, route it to a CLI
runtime instead.
Worktree Isolation
Setup per isolation: worktree job, before dispatch:
git worktree add <run-dir>/worktrees/<job-id> -b orchestrate/<run-id>/<job-id> <base-ref>;
the job's cwd becomes that worktree path.
One job per worktree, never shared, never reused across attempts without a
reset.
Do not worktree-parallelize jobs that must edit the same generated artifact,
lockfile, migration sequence, or shared config — worktrees defer that
conflict to merge time instead of removing it. Sequence those jobs.
Integration is coordinator-owned and happens only after the arbiter pass:
summarize each worktree branch diff in the report; merging or cherry-picking
is a separate reviewed step, never automatic.
Cleanup: git worktree remove integrated or discarded worktrees; keep
failed-job worktrees for diagnosis and list them in the report.
Metrics and Self-Improvement
Append one JSON line per finished job to
plans/reports/orchestrate-history.jsonl (local corpus; non-markdown files
under plans/ stay untracked): run id, job id, runtime, model, task,
duration ms, status, exit code, timed out, attempts, arbiter verdict, and
token/cost figures when the harness reports them (claude-code JSON usage,
opencode step_finish events).
At report time, when the history holds enough rows for a runtime/model/task
pair (roughly 20+), compare observed success rate, duration, and cost
against the routing table.
When observations contradict model-routing.md
or harness-profiles.md, add a "routing
suggestions" section to the report with the evidence. Never silently edit
the routing references mid-run — routing changes stay reviewable.
Job Spec
Read job-spec.md for the full schema. Minimal example:
version:1concurrency:2jobs:-id:scout-session-apiruntime:internalagent:Explore# in-session subagent; omit to route per task classtask:scoutcwd:D:/www/claudekit/agentkitprompt:"Inspect the session API and report extension points."timeout:10mexpected_output:"Markdown report with files read and recommended seams."-id:codex-test-planruntime:codextask:test# routes to a balanced model (gpt-5.4)fallback_runtime: [claude-code]
cwd:D:/www/claudekit/agentkitprompt:"Design focused tests for the session API extension."sandbox:workspace-writeapproval_policy:on-requesttimeout:10mexpected_output:"Markdown test plan with commands."
Safety Defaults
Every job needs an explicit cwd.
Keep captured content under plans/reports/orchestrate-<timestamp>/.
Redact tokens, API keys, cookies, private keys, and .env values from logs.
Use read-only or workspace-write style permission boundaries first.
Use destructive or permission-bypass flags only when the user explicitly opts
in for that run.
Bound each job with a timeout.
Preserve failed job output for diagnosis; never hide it.
Do not launch parallel jobs that edit the same files, generated artifacts,
migrations, lockfiles, or shared config.
Internal writing jobs follow the same parallel-write rule: worktree-isolate
or sequence them. Keep destructive: true work off runtime: internal.
Output Layout
plans/reports/orchestrate-<timestamp>/
jobs.yaml
runtimes.json
state.json
report.md
worktrees/
<job-id>/
<job-id>/
command.txt # CLI jobs only
stdout.txt # CLI jobs only
stderr.txt # CLI jobs only
result.md # internal jobs: subagent final text
status.json
artifacts/
attempt-<n>/ # prior partial output preserved on resume
plans/reports/orchestrate-history.jsonl # cross-run metrics corpus
The final report is blocked until the arbiter answers:
Did each job produce the requested artifact?
Did any job fail, timeout, or emit an uncertainty marker?
Do job outputs contradict each other?
Were all listed checks run, and did they pass?
Are claims supported by file paths, command output, citations, or tests?
Are any destructive actions proposed but not approved?
Are unresolved questions listed plainly?
Failure Modes
Missing runtime binary: re-route via fallback_runtime when set; otherwise
mark the job blocked and continue only if other jobs do not depend on it.
Missing internal agent: substitute per internal-routing.md (preferred →
substitute → general-purpose); record the substitution in status.json.
Re-route to fallback_runtime only when no internal agent fits.
Unknown flag or model on an external runtime: fail the job, re-verify that
runtime-matrix row against live docs, and never guess replacement flags.
Authentication missing: do not ask for or log credentials; report the setup
command or docs path needed.
Permission prompt in non-interactive mode: stop that job and report the
command requiring approval.
Timeout: preserve partial output and mark the downstream jobs blocked.
Sudden interruption (crash, power loss, killed session): state.json holds
the last transition; rerun with --resume <run-dir> — completed jobs are
skipped, in-flight jobs re-dispatch as a new attempt.
Ambiguous file ownership: do not parallelize those jobs; if they must run in
parallel anyway, isolate each in a worktree and resolve at integration.
Limitations
Each runtime starts with separate context; there is no shared memory between
jobs.
Internal jobs cannot be force-killed on timeout the way subprocesses can —
the timeout marks the job failed for accounting, but a runaway subagent
finishes on its own. Bound internal jobs by scoping the prompt, not by
relying on the timeout.
Internal-job isolation is prompt-level, not an OS sandbox; internal jobs
consume the current session's token budget and run at its permission mode.
Codex agent dispatch currently uses fresh codex exec subprocesses and may
cold-start.
Coding-agent CLI flags change; verify live docs before changing the runtime
matrix. External rows are best-effort and drift faster than the first-class
rows.
Model catalogs move monthly; the routing table is a dated snapshot, not a
guarantee.
Worktree isolation needs a git repository and disk headroom; jobs outside a
repo fall back to isolated cwd directories.
The metrics history is advisory: routing-table changes always go through a
human-reviewed edit, never an automatic rewrite.
This skill coordinates humans and CLIs through documented commands. It does
not add a new AgentKit scheduler daemon or dashboard surface.
