Build a verified Claude Code fleet from an agent-fleet-analysis work order — non-destructive migration of mixed fleets (Claude Code, n8n exports, LangChain/CrewAI/AutoGen apps, freeform-coded loops). Sources are never mutated; each agent is copied or scaffolded into fleet-migrated/, its logic extracted per paradigm, every fix delegated to a named marketplace skill, every copy verified through the review gate, and the run ends with a before/after maturity report plus a gated deploy offer.
Build a verified Claude Code fleet from an agent-fleet-analysis work order — non-destructive migration of mixed fleets (Claude Code, n8n exports, LangChain/CrewAI/AutoGen apps, freeform-coded loops). Sources are never mutated; each agent is copied or scaffolded into fleet-migrated/, its logic extracted per paradigm, every fix delegated to a named marketplace skill, every copy verified through the review gate, and the run ends with a before/after maturity report plus a gated deploy offer.
{"version":"1.1","created":"2026-07-30T00:00:00.000Z","updated":"2026-07-30T00:00:00.000Z","author":"Ability.ai","changelog":["1.1: Deploy gate is repository-first — each migrated agent gets a GitHub repo as its final migration step (gh repo create --source=. --push) so /trinity:onboard deploys by cloning it and deploy_system can name it as template: github:Org/repo; names the instance GitHub token (Settings → GitHub token, Contents: Read) as the read prerequisite, and requires repo-less agents to be recorded in the report with what the local-file fallback costs","1.0: Initial version — execute the agent-fleet-analysis work order: non-destructive copies, per-paradigm logic extraction (n8n / framework / freeform), composed marketplace fixes, per-agent review gate + maturity re-score, capability coverage matrix, gated deploy handoff"]}
Agent Fleet Migrate
ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of metadata.changelog above — e.g. agent-fleet-migrate vX.Y — recent: <summary>. Then proceed.
Execute the work order that /agent-dev:agent-fleet-analysis produces. The analysis is the diagnose half; this skill is the execute half — the same relationship as create-agent:review → create-agent:adjust, one level up.
Three properties are non-negotiable:
Non-destructive. Source agents are never mutated — not even "safe" fixes. All writes land in the target workspace; a run is reversible by deleting a folder. The run proves this at the end (Step 7).
Composition, not duplication. This skill owns exactly three things: copy semantics, per-paradigm logic extraction, and the fleet-level before/after report. Every other stage is a named skill invocation (see the composition table). This file must contain no inline restatement of any composed skill's checks or templates — a restated rubric line is future drift. Gaps found in a composed skill get fixed in that skill.
Honest gates. An agent is reported "migrated" only after the review gate passes and the re-score clears the bar (Step 4d). Failures are reported as failures with named findings — never rounded up. A gate FAIL is a blocker, not an advisory.
Composition table
Stage
Invoke
Work order (missing or stale)
/agent-dev:agent-fleet-analysis
Scaffold target shape (non-Claude-Code paradigms)
/create-agent:custom
Extracted capabilities → skills
/agent-dev:create-playbook
Gap fixes on the copies
/create-agent:adjust (composes the review itself)
Memory / hub / canon wiring
/agent-dev:add-memory · /agent-dev:add-orchestrator · /agent-dev:add-canon — driven by the work order's upgrade_paths, which already names the skill per agent
Verification gate
/create-agent:review per migrated copy
Numeric before/after
/agent-dev:agent-fleet-analysis re-run on the target workspace
Deploy handoff (gated)
A GitHub repo per migrated agent, then /trinity:onboard per agent (deploys from the repo), or mcp__trinity__deploy_system naming each member github:Org/repo
Execution is sequential in the main loop — one agent at a time, in manifest order. Slower than fan-out, but every composed skill resolves exactly as it does when the user runs it directly.
Report path (.md or .json from a previous analysis run): execute it.
Fleet path(s) (directories of agents): run /agent-dev:agent-fleet-analysis on them first, then execute the fresh report.
Nothing: find the newest agent-fleet-analysis-*.json in the conventional output locations — ./session-files/*_agent_fleet_analysis/, ./fleet-analysis/, /home/developer/public/ — and confirm it at the plan gate.
--target dir: target workspace (default ./fleet-migrated/). Never inside any source agent directory.
Step 1: Resolve the Work Order
Parse the arguments per Usage. Whenever a markdown report is given or found, prefer its JSON twin (agent-fleet-analysis-<date>.json, written alongside) — the structured form carries agents[], upgrade_paths, fleet_topology, and the roadmap without re-parsing prose. If only the markdown exists, work from it.
Staleness check: if any source agent directory listed in the report contains files newer than the report file itself, the diagnosis may no longer match reality. Say which directories changed and offer to refresh via /agent-dev:agent-fleet-analysis before executing. Proceeding on a stale report is the operator's call, made at the plan gate — never silent.
Dead ends get a next action, never silence:
Situation
Action
No report found anywhere
Print: No fleet-analysis report found. Run /agent-dev:agent-fleet-analysis <fleet-path> first, or pass the fleet path directly to this skill. Stop.
Report references source dirs that no longer exist
List them; migrate the ones that do exist; record the missing ones as failed — source directory gone.
Report has zero agents
Print the analysis skill's own no-agents guidance and stop.
Report predates schema v2.2 (no paradigm field)
Re-run /agent-dev:agent-fleet-analysis on the source paths — do not guess paradigms.
Step 2: Migration Manifest — the Plan Gate
Build the manifest from the work order and present it for one approval before any write. Every row is editable at the gate (skip an agent, rename a target, change the hub):
Actions are: uplift (claude-code — the copy is the migration; fixes close the gap list), convert (n8n / framework / freeform-coded — scaffold + extraction), skip (recorded with reason). Default: migrate everything the report inventoried as an agent; suggest skipping only agents the report scored under 40 readiness with no discoverable purpose.
If every agent ends up skipped, print what was skipped and why, plus the one action that would unblock the most agents (usually "state the purpose of X — its readiness score is limited by purpose discoverability"). Stop — an empty manifest is not a run.
The deploy offer is a second, separate gate (Step 8). Approving the manifest never implies deployment.
Step 3: Prepare the Target Workspace
TARGET="${TARGET_DIR:-./fleet-migrated}"mkdir -p "$TARGET"
STAMP="$TARGET/.pre-migration-stamp"touch"$STAMP"# mtime marker — Step 7 proves no source file is newer than this
Re-run semantics (additive, never destructive): if <target>/<name>/ already exists from a previous run, do not re-copy, delete, or overwrite it — treat it as a resume: skip Step 4a for that agent and run Steps 4b–4d against the existing copy. Hand-edits the user made to a migrated copy are preserved; the git history inside each copy (initialized in 4a) shows exactly what each run changed. To start over instead, the user deletes the folder or passes a fresh --target.
Step 4: Per-Agent Migration Loop
Process manifest agents sequentially. One agent's failure never aborts the fleet run — record the failure with its named reason and continue with the next agent.
4a: Copy or scaffold — the non-destructive workspace
claude-code (uplift): copy the source into the target, excluding volatile and secret-bearing paths, then initialize git so every later change is diffable:
Real .env / .mcp.json files are deliberately left behind — the migrated copy documents credentials via .env.example only; the user re-supplies real values when running the copy.
n8n / framework / freeform-coded (convert): copy the source material to <target>/_sources/<name>/ (same exclusions; reference only, never git-inited) — the extraction in 4b reads from this copy, not from the original. Then scaffold the target agent: Invoke /create-agent:custom for <target>/<name>/ with the purpose extracted by the analysis (the report's purpose field) as the agent's stated purpose. Port the 4b extraction results into the scaffold.
The one piece of new IP this skill owns. Extraction turns source artifacts into four kinds of ported material: identity (→ CLAUDE.md), skill candidates (→ /agent-dev:create-playbook, one per capability), credential references (→ .env.example entries, names + placeholders only, never values), and a memory-kind recommendation (→ /agent-dev:add-memory, using the analysis skill's four kinds vocabulary: file awareness / knowledge graph / structured state / multi-session tracking).
n8n — read each workflow JSON (name, nodes[], connections):
Identity: system prompts embedded in AI/LLM/Agent nodes (systemMessage, prompt, text parameters) + the workflow name and any sticky-note documentation → the CLAUDE.md identity section.
Skill candidates: one per trigger-to-sink path through the connection graph, and one per Execute Workflow sub-workflow target. Intermediate nodes (HTTP Request, transform, DB) become steps inside that skill, not separate skills.
Triggers: Cron/Schedule Trigger nodes → a schedules: recommendation in the copy's template.yaml; Webhook triggers → the skill's documented input contract.
Credentials: every node-level credentials reference → one .env.example entry named after the service.
Skill candidates: discrete functions or CLI subcommands the loop dispatches to → one each.
Credentials: env-var reads → .env.example.
State: state files, JSON ledgers, SQLite schemas → the matching memory kind.
Named validation errors: when a source artifact resists extraction, record an error naming the artifact and the reason — e.g. n8n node "HTTP Request 3" (workflow "enricher") has no discoverable purpose — needs operator input — in the analysis skill's error-table style. The capability goes into the coverage matrix as an explicit omission; the agent's migration continues with what did extract.
Capability coverage matrix — built per converted agent, from the union of the report's I/O contracts, gap list, and everything 4b discovered:
Every source capability maps to a named target skill or a listed omission — semantic fidelity, not file presence. No silent capability loss.
4c: Compose the fixes
Work through the copy's items from the work order — its gap list, quick wins, and the upgrade_paths entries targeting this agent:
Structure and content gaps → Invoke /create-agent:adjust on the copy (it runs the review first and applies findings — do not pre-empt it with manual fixes it would make anyway).
Each extracted skill candidate (4b) → Invoke /agent-dev:create-playbook in the copy.
upgrade_paths entries naming this agent → invoke the named skill (/agent-dev:add-memory with the recommended kind, etc.).
4d: Verify — the review gate and re-score
Invoke /create-agent:review on the copy. Read its scorecard and findings:
Any MISSING or BROKEN area, or any High-severity finding → Invoke /create-agent:adjust to apply the findings, then re-review. Maximum 3 adjust→review rounds; if findings persist after that, stop looping — the remaining findings are named in the report and the agent is not counted as migrated.
Review clean → the agent's migration gate is met pending the fleet re-score (Step 6).
Per-agent status vocabulary (the report uses exactly these):
Status
Meaning
migrated
Review gate passed AND re-scored maturity ≥ 60 (Functional). Copies also reaching ≥ 80 carry the Well-designed label.
incomplete
Gate not met after 3 rounds, or re-score < 60 — remaining findings named.
failed
Copy/scaffold/extraction failed — reason named (e.g. source gone, extraction needs operator input on the load-bearing artifact).
skipped
Operator call at the plan gate — reason recorded.
The ≥ 60 bar is deliberate: thin source material (readiness < 40) often cannot honestly reach Well-designed in one pass, and looping until it fakes 80 would violate the honesty property. The report shows every score; raising the copy from Functional to Well-designed is a listed next action, not a silent loop.
Step 5: Fleet-Level Wiring
After the per-agent loop, execute the fleet-scoped upgrade_paths entries that are mechanical:
Hub designation → Invoke /agent-dev:add-orchestrator on the migrated hub copy.
Canon layer (when the work order recommends it) → Invoke /agent-dev:add-canon.
Entries that require an interactive interview (e.g. create-agent:kb-agent for a missing knowledge brain) are not run autonomously — they land in the report's next-actions list with the exact command, so the operator runs them with the interview they deserve.
Step 6: Re-Score
Invoke /agent-dev:agent-fleet-analysis on the target workspace (exclude _sources/; a --target that is inside the current directory is fine — the analysis writes its report outside the scanned tree). Read the fresh JSON: its maturity_score per agent is the after number; the original work order holds the before (maturity or readiness). No scoring logic lives in this file — the delta comes from two runs of the same scorer.
Prove the sources untouched, then write the report:
for SRC in <each sourcedir from the manifest>; do
find "$SRC" -newer "$STAMP" -type f | head -5
done# Empty output for every source = proof. Any hit = report it loudly as a bug in the run.
Write <target>/migration-report-<date>.md:
# Fleet Migration Report — <date>
Work order: <report path> · Target: <target dir>
Sources verified untouched: <yes / VIOLATION — files listed>
## Before / after
| Agent | Paradigm | Before | After | Status |
|-------|----------|--------|-------|--------|
| <name> | claude-code | 45% maturity | 85% maturity | migrated (Well-designed) |
| <name> | n8n | 70% readiness | 65% maturity | migrated |
| <name> | freeform-coded | 20% readiness | — | failed: <named reason> |
Fleet average: <before>% → <after>%
## Capability coverage (converted agents)
<per-agent matrix from 4b — ported rows + every omission>
## Incomplete / failed — what remains
<named findings per agent, verbatim from the last review>
## Next actions
- <interactive upgrade_paths handoffs, exact commands>
- <raise Functional copies to Well-designed — exact gaps>
- Deploy (gated): see below
Print the report path and the before/after table inline.
Step 8: Deploy — the Second Gate
Deployment never runs inside the migration loop. Offer, don't do:
Trinity MCP available: offer /trinity:onboard per migrated agent, or mcp__trinity__deploy_system for the whole fleet. Only on explicit approval, and only for agents with status migrated.
No Trinity connection: print the local handoff instead — each migrated copy is a complete local agent: cd <target>/<name> && claude, credentials via its .env.example. Trinity is the upgrade, never the gate.
Give each migrated agent a repo first. Trinity deploys agents by cloning their GitHub repository, and a fleet manifest can only name template: github:Org/repo — so the last migration step for each agent is a repo, not a directory:
Then the instance needs to be able to read them: a fine-grained PAT with Contents: Read under Settings → GitHub token on the Trinity instance (public repos clone without one). With that in place, /trinity:onboard deploys each agent from its repo and deploy_system can name the whole fleet by ref — reproducible, and updatable by git push afterwards.
Migrated agents that stay repo-less can still deploy from local files, but say what that costs: no reproducible source, no git push update path, and they can't be members of a system manifest. Record which agents ended up repo-less in the report.
Error Handling Reference
Situation
Action
No report + no paths given, none found
Named next action (Step 1 table), stop
Stale report (sources newer)
Offer refresh; operator decides at the plan gate
Source dir listed in report no longer exists
failed — source directory gone, continue with the rest
Composed skill not installed (e.g. create-agent plugin missing)
Print the exact /plugin install <name>@abilityai command, mark affected agents incomplete, continue where possible
Extraction hits an unreadable/opaque artifact
Named validation error (4b), capability → explicit omission, continue
Review gate still failing after 3 rounds
Status incomplete with named findings — never loop further, never round up
One agent fails mid-loop
Record, continue with the next agent
Target dir exists from a prior run
Resume semantics (Step 3) — update in place, never delete
Non-destructive proof finds a newer file in a source
Report loudly as a run bug at the top of the report — this is a defect, not a footnote
No Trinity connection at deploy time
Local handoff instructions (Step 8) — not a dead end
