agentleFS
KcAnomKcAnom/pi-fairy-tales-chains/skills/onboard-map/SKILL.md

onboard-map

Skill0 starsChanged 4 months agoMITView on GitHub

Phase 1 of 3 in the onboard chain (map → deepen → digest) — the durable repo-onboarding pipeline. Entry point: fans out fairy-tales explore-role subagents in parallel, via durable quests, to map an unfamiliar repo's entry points, largest/most- connected files, config, test layout, dependency graph, and conventions. This phase starts the durable chain run (state tracked by the chain tool). Trigger whenever the user wants to onboard onto an unfamiliar codebase, learn a new repo, or start the onboard chain: "onboard-map", "onboard this repo", "map the codebase", "start the onboard chain", "learn this project", or standalone "onboard".

  • Reads credentials

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 5 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    All chain state is managed by the chain tool: authoritative JSON at .pi/fairy-tales/chains/onboard/state.json with a human-readable …

    line 26
  2. Very specific:

    Call the chain tool with action: "status", chain: "onboard":

    line 36
  3. Distinctive:

    If an active run exists, an onboarding session is already mid-flight (the status shows its current phase).

    line 38
  4. Very specific:

    If the tool reports the chain is locked by another session, abort and tell the user.

    line 42
  5. Distinctive:

    If there is no run, or the last run is complete/abandoned (a completed prior run over the same repo just means its digest already exists — …

    line 44
  6. Very specific:

    If a returned quest is already done (crash-resume case), reuse its stored result.

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  7. Distinctive:

    Call the chain tool:

    line 89
  8. Distinctive:

    After completing this phase, output exactly:

    line 108
  9. Distinctive:

    Do not start the next phase.

    line 113

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Onboard: Map

Chain version: 2 (durable state contract — see docs/STATE-CONTRACT.md)

Phase 1 of 3: onboard-map → onboard-deepen → onboard-digest

Overview

Entry point of the onboard chain. Fans out fairy-tales explore-role subagents in parallel, via durable quests, to build a first structural map of an unfamiliar repo — before anyone reads a single file line by line.

All chain state is managed by the chain tool: authoritative JSON at .pi/fairy-tales/chains/onboard/state.json with a human-readable state.md projection beside it (a legacy .onboard-state.md from an older version is imported automatically). Never create or edit state files by hand, and never create lock files — the tool locks for you.

Workflow

Step 1 — Start the run (entry phase)

Call the chain tool with action: "status", chain: "onboard":

  • If an active run exists, an onboarding session is already mid-flight (the status shows its current phase). Show the user the status and ask whether to resume from the current phase (run that phase's skill) or discard it (action: "abandon") and start over. Do not silently overwrite.
  • If the tool reports the chain is locked by another session, abort and tell the user; a dead session's lock can be cleared with action: "unlock".
  • If there is no run, or the last run is complete/abandoned (a completed prior run over the same repo just means its digest already exists — note that, then continue with a fresh map), start fresh: action: "start", chain: "onboard", task: "onboard <repo/path>". Note the runId in the response — it keys this run's quest dedupe keys.

Step 2 — Fan out explore-role subagents via durable quests

Because mapping a repo can be long-running and must survive a session restart, use the quest tool rather than bare agent calls. For each concern below, enqueue a quest with role: "explore", a self-contained task, and:

  • dedupeKey: "onboard/<runId>/map/<area>" (<area> is the concern id below) — re-running a crashed phase returns the same quest instead of duplicating work;
  • chain: { chain: "onboard", runId: "<runId>", phase: "map" };
  • retainUntilConsumed: true.

Issue all six enqueue calls in one message so they run in parallel:

  • entry-points — how the project is launched/served (main, bin, index, framework entrypoints, CLI commands, package.json/pyproject.toml scripts).
  • hotspots — the files with the most imports-in and imports-out (a cheap proxy for "core" modules), plus raw largest-by-line-count files.
  • config — env files, config loaders, feature flags, build tooling (*.config.*, .env*, CI workflow files).
  • tests — test framework(s) in use, directory conventions, how to run the suite, coverage of the hotspot files found above.
  • dep-graph — top-level module/package boundaries and how they depend on each other (a coarse graph, not a full call graph).
  • conventions — naming, formatting, commit style, any CLAUDE.md/ CONTRIBUTING.md already in the repo.

If a returned quest is already done (crash-resume case), reuse its stored result; otherwise quest action run with its id and collect the result. After extracting what's needed into chain state (Step 4), quest action consume each quest by id.

Step 3 — Assemble the map

Merge the six quest results into one consolidated map: entry points, hotspot files (ranked), config surface, test layout, dependency graph, conventions. This is the raw material Phase 2 (onboard-deepen) will target for deep reads — flag the top 3-6 hotspots explicitly so the next phase knows exactly what to read deeply.

Step 4 — Complete the phase

Call the chain tool:

action: "complete-phase", chain: "onboard", phase: "map",
summary: "consolidated repo map assembled (entry points, hotspots, config, tests, dep graph, conventions); top hotspots flagged for Phase 2: <list>",
data: {
  "map": "<the consolidated map, in full, as markdown>",
  "hotspots": [
    { "file": "<path>", "reason": "<why it's a hotspot>" }
  ]
},
artifacts: { "mapQuests": "<quest ids>" }

The tool validates this is the current phase, advances the run to deepen, and rewrites the JSON + markdown projection atomically.

Handoff

After completing this phase, output exactly:

Phase 1 complete. Chain state updated (.pi/fairy-tales/chains/onboard/state.json). Run /onboard-deepen to begin Phase 2.

Do not start the next phase. Do not offer to continue. Output only the handoff line and stop.

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