auto
Run completely AUTONOMOUSLY — loop the FULL task engine over the Beads queue, a fresh `claude -p` per task, until the queue is…
Plan a phase or feature DIRECTLY into Beads — no PLAN.md, no markdown bridge. Runs GSD-style socratic discovery + decomposition + a goal-backward self-check, then emits a structured plan that `cmpl plan-apply` materializes as a Beads epic + worker-contract tasks + dependency
Claude Code
$ npx -y skills add 23ag1/completely --skill plan --agent claude-code
Codex
$ npx skills add 23ag1/completely --skill plan -a codex -y
Cursor
$ npx skills add 23ag1/completely --skill plan -a cursor -y
Gemini CLI
$ npx skills add 23ag1/completely --skill plan -a gemini-cli -y
GitHub Copilot
$ npx skills add 23ag1/completely --skill plan -a github-copilot -y
OpenCode
$ npx skills add 23ag1/completely --skill plan -a opencode -y
Windsurf
$ npx skills add 23ag1/completely --skill plan -a windsurf -y
name: completely:plan description: Plan a phase or feature DIRECTLY into Beads — no PLAN.md, no markdown bridge. Runs GSD-style socratic discovery + decomposition + a goal-backward self-check, then emits a structured plan that `cmpl plan-apply` materializes as a Beads epic + worker-contract tasks + dependency waves + human checkpoints. One source of truth from the first planning act. Use to turn an idea or phase into ready Beads work. version: 0.4.0 user-invocable: true argument-hint: "[phase or feature]"
Plan **into Beads directly**. Do NOT write a `PLAN.md` / `STATE.md` — the plan lives in Beads.
1. **Discover (socratic).** Ask clarifying questions ONE at a time until the goal is unambiguous; offer 2–3 approaches with trade-offs; confirm scope. If a spec is already frozen, read it instead. 2. **Decompose** into atomic tasks (2–5 min each). Each task MUST carry the worker-contract: `title` (imperative), `acceptance` (observable/testable), `design` (approach/why), `write_zone` (exact files/globs), `verify` (the proof command), `deps` (other task keys). ~2–3 tasks per unit; split if a unit exceeds ~5 tasks or ~10 files (context budget). **Also fill the context fields — the engine consumes them directly:**
(contracts, schemas, neighbouring patterns). Injected verbatim into the worker's dispatch header, so a fresh context reads exactly this instead of guessing or scanning the tree.
evaluator grades against at VERIFY. No must_haves ⇒ the evaluator has only the acceptance line.
3. **Checkpoints.** Where a human must verify/decide, add `{key,title,after,how}`; make downstream tasks depend on `cp:<key>` so the wave blocks until the human closes it. 4. **Self-check (goal-backward, GSD plan-checker's 7 dimensions).** Before applying, verify: requirement coverage · task completeness (acceptance+verify present) · dependencies acyclic · artifacts wired together (not isolated) · scope within context budget · acceptance is user-observable · honors the user's frozen decisions. Fix gaps — don't apply a plan that won't reach the goal. 5. **Apply.** Emit the plan as JSON and pipe it to the materializer: `cat <<'PLAN' | cmpl plan-apply` … `PLAN`. It creates the epic + tasks + deps + checkpoints + a `bd swarm` (native waves). Then show `bd ready` and `bd swarm status`.
`{ "epic": "...", "tasks": [ {"key","title","acceptance","design","write_zone":[...],"verify","deps":[...],"labels":[...],"read_context":[...],"must_haves":{"truths":[...],"artifacts":[...],"key_links":[...]},"requirements":[...]} ], "checkpoints": [ {"key","title","after","how"} ] }`
A quality-first harness for autonomous AI coding agents. It turns "the agent said it's done" into *"here's the proof — graded by an independent, default-FAIL checker."* Done is earned, not asserted.
Run completely AUTONOMOUSLY — loop the FULL task engine over the Beads queue, a fresh `claude -p` per task, until the queue is…
Run all configured quality checks (lint, types, tests) in one pass with terse output — reports "clean" when green, and only the…
Overview and entry point for the completely harness — a quality-first agent workflow unifying GSD (planning depth), Ralph…
Run completely UNDER CONTROL — execute the SINGLE next Beads task through the FULL task engine (understand → map → plan-check →…
Scaffold the completely thin layer into the current repository — Definition of Done, the harness rules snippet in CLAUDE.md, and…
Produce the "Playwright 1.xx API Review" artifact for a range of commits - the public API additions and the breaking or behavior…
Write, refine, run, and QA promptfoo evaluation suites: promptfooconfig.yaml, prompts, providers, vars, tests, assertions,…
DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent,…