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state-protocol

Skill1 starsChanged 23 days agoMITView on GitHub

How every codelabgen agent reads and changes course state through the `codelabgen` CLI — lesson stages, phases, failures, blocking, the event log, artifact locations and the status message agents return. Load before any work inside a codelabgen course directory.

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SKILL.md

codelabgen state protocol

A codelabgen course is a directory with a hidden .codelabgen/ folder. Its progress lives in .codelabgen/state.json, and every change to it goes through the codelabgen CLI. The CLI holds a lock, validates each change and writes an event to .codelabgen/events.jsonl, which is what makes an interrupted run resumable.

Rules

  1. Never edit state.json or events.jsonl with Edit, Write or shell redirection. Use the commands below.
  2. Pass the course explicitly with --course <dir> (or set CODELABGEN_COURSE), unless the working directory is inside the course.
  3. A non-zero exit is a refusal, not a glitch. Exit code 2 prints error: … with the reason, for example a skipped stage or a used-up budget. Report it; don't retry the same command or work around it.
  4. Only the orchestrator changes state. Worker agents (example-designer, code-author, …) never run state set, fail, block, phase or register. They do their work, may run read-only commands and state log, and report through the status JSON at the end. The orchestrator checks the result and moves the stage.

Running the CLI

codelabgen sessions run with the plugin's virtual environment activated, so codelabgen is on PATH. If it is not found, run it through uv instead:

uv run --project ${CLAUDE_PLUGIN_ROOT} codelabgen …

Lesson commands need their own environment. The lesson code has its own uv workspace per module. When you run uv for lesson code yourself, drop the plugin's environment first, or uv uses the wrong venv: env -u VIRTUAL_ENV uv run …. codelabgen verify does this for you.

Lesson stages

Each lesson records the last completed stage:

pending → spec → code → verified → readalong → notes → reviewed → done
Stage doneWork that moves it to the next stageThe orchestrator then runs
pendingexample-designer writes lessons/<id>/spec.yamlcodelabgen state set <id> spec
speccode-author writes the code and testscodelabgen state set <id> code
codecodelabgen verify <id> --update-state passes (code-fixer repairs failures)nothing: verify sets verified or counts a failure
verifiedreadalong-writercodelabgen state set <id> readalong
readalongnotes-writercodelabgen state set <id> notes
noteslesson-reviewer, verdict passcodelabgen state set <id> reviewed
reviewedfinal checkscodelabgen state set <id> done

codelabgen state stages prints the same table as JSON.

  • Forward moves go exactly one stage at a time.
  • Rework moves back to any earlier stage: codelabgen state set <id> readalong --note "reviewer: example 2 unclear". Moving back from notes or reviewed uses up one review round, and the CLI refuses once the budget is gone.
  • Failed verify: codelabgen state fail <id> --note "<one-line cause>". When the fix budget runs out, the lesson becomes blocked automatically.
  • Block for a decision only the user can make: codelabgen state block <id> --reason "…". The orchestrator unblocks with codelabgen state unblock <id>.
  • Stale: codelabgen state stale <id> --reason "…" marks a done lesson whose upstream changed. It must be redone from an earlier stage.

Phases (orchestrator only)

init → recon → sources → gate_sources → topics → curriculum → gate_plan → scaffold → lessons → assembly → done

codelabgen state phase <next> advances exactly one phase. Leaving a gate (gate_sources, gate_plan) needs --approved, and only after the user approved in the conversation. Entering assembly requires every lesson to be done.

Reading state

  • codelabgen state show: human summary. --json gives the full state.
  • codelabgen state next: JSON with what is left in the current phase (actions), the lesson work items in the lessons phase, and interrupted tasks. Lessons in one module run in order; separate modules run in parallel up to the budget.
  • codelabgen state task list --open: tasks still running or failed. Tasks (state task start/done/fail/reset) are the orchestrator's record of worker runs; workers don't touch them.
  • codelabgen report: the generation summary in .codelabgen/report.md.
  • codelabgen schema show <name>: JSON Schema of a data file (config, source, topic, curriculum, lesson-spec, run-result, glossary-entry, …).

Logging

Record notable facts that are not state changes, so the final report can use them:

codelabgen state log <kind> --lesson <id> --data key=value --data key=value

Where artifacts go

Paths are relative to the course root.

ArtifactPath
Research overview, deprecated APIs.codelabgen/research/overview.md, .codelabgen/research/deprecations.md
Source candidates, source digests.codelabgen/sources.jsonl, .codelabgen/sources/<id>.md
Topics.codelabgen/topics/<source-id>.jsonl
Curriculum, plan.codelabgen/curriculum.yaml, .codelabgen/plan.md
Lesson spec, review.codelabgen/lessons/<id>/spec.yaml, .codelabgen/lessons/<id>/review.md
Lesson code and docs<module>/<id>-<slug>/ (code, docs/notes.md, docs/readalong.md)

What a worker returns

Finish with a short JSON block and nothing after it, so the orchestrator can parse it:

{"lesson": "1.2", "status": "ok", "stage": "code", "artifacts": ["1-basics/1.2-routing/src/l1_2_routing/graph.py"], "notes": "one line, optional"}

status is ok, failed (the work could not be finished; say why in notes) or needs-user (a decision only the user can make). stage is the stage your work completes; the orchestrator decides whether to record it.

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