End-to-end feature workflow around the agent — spec by interview, a plan of 2–5-minute tasks, test-first execution with checkpoint commits, then an evidence-gated finish. Effort-scaled: a one-sentence diff skips straight to implementation; a real feature gets spec.md → plan.md → task-by-task TDD, with all state in out/dev/<change>/ so any later session resumes at the first unchecked task. Human-in-the-loop: the spec and the plan are approved (and editable) before any code is written, and nothing ships without the done gate. Use when the user wants to build, add, or implement a feature or start non-trivial coding work — e.g. "/feature add rate limiting", "implement X", "build a Y that Z", "resume the <change> feature". For fixing something broken use bugfix; for just the end-of-session shipping gate use done; for this whole loop end-to-end without approval stops, suggest the user run /autopilot (explicit invocation only).
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
Instruções da origem · Visualização somente leitura
name
feature
description
End-to-end feature workflow around the agent — spec by interview, a plan of 2–5-minute tasks, test-first execution with checkpoint commits, then an evidence-gated finish. Effort-scaled: a one-sentence diff skips straight to implementation; a real feature gets spec.md → plan.md → task-by-task TDD, with all state in out/dev/<change>/ so any later session resumes at the first unchecked task. Human-in-the-loop: the spec and the plan are approved (and editable) before any code is written, and nothing ships without the done gate. Use when the user wants to build, add, or implement a feature or start non-trivial coding work — e.g. "/feature add rate limiting", "implement X", "build a Y that Z", "resume the <change> feature". For fixing something broken use bugfix; for just the end-of-session shipping gate use done; for this whole loop end-to-end without approval stops, suggest the user run /autopilot (explicit invocation only).
feature — spec → plan → build, effort-scaled
/feature <description> — start (or resume) a piece of work
/feature — list changes in flight under out/dev/
Answer one question: what is the smallest process that gets THIS change
built correctly? The two documented failure modes of workflow suites are
opposite: heavyweight gates firing on typo-sized changes, and freestyle
sessions shipping unverified scope creep. This skill scales the process to
the change — never the other way around.
Step 0 — Size the change (the escape hatch comes first)
Classify before doing anything else, and say which tier you picked:
Trivial — you could describe the exact diff in one sentence (typo, rename,
config value, one-line fix). → No spec, no plan, no folder. Make the change,
then run the done gate's evidence checklist inline. Stop here.
Small — one focused change, ≤ ~3 files, design obvious. → Skip the spec
interview; write the plan directly in chat for approval, execute with the
Step 3 rules, finish with . No folder unless the user wants to pause
and resume.
done
Standard — anything multi-file, multi-session, or with real design
decisions. → Full loop below.
If the user explicitly asks for the full treatment ("spec this out"), honor it
regardless of size. When genuinely unsure between tiers, pick the smaller one
and say so — the plan contract (Step 3) catches scope growth and upgrades the
tier if needed.
The change folder — state across sessions
out/dev/<change-slug>/ (<slug> = short change name, lowercased, hyphens;
committing the folder is the user's call — it makes good shared history):
spec.md — what & why, agreed acceptance criteria, decisions/assumptions
numbered (D1…/A1…). Written once, then stable.
plan.md — the task checklist. Checkboxes are flipped as tasks complete;
never delete a task, strike it with a reason instead.
log.md — append-only progress journal: one line per task/session
(date · task · result · commit). Decisions and surprises go here too.
Resume ritual (any session, before touching code): read log.md, then
plan.md, then git log --oneline -10; run the project's test command as a
smoke check; continue at the first unchecked task. Never trust residual
conversation memory over the files. When the change ships, move the folder to
out/dev/archive/ — done changes are history, not clutter.
Step 1 — Spec by interview (standard tier)
Read the repo's CLAUDE.md/AGENTS.md (the map skill writes the latter) and
nearby code first. Facts vs decisions, no third category: a fact that
can be looked up (code, docs, git log) is never a question; a decision is
the user's — put each one to them. Interview with one compact question
set (AskUserQuestion) covering the decisions the request leaves
genuinely open: the goal as observable behavior, what's explicitly out of
scope, acceptance criteria, and the end-to-end check that will prove
it works (a command, a flow to click through, a curl). When an answer would
reshape the questions after it, drop to one at a time, each with a
recommended answer.
Write spec.md — short, self-contained, decisions and assumptions numbered
(D1…, A1…) so plan tasks can cite them. An assumption here is a
default the user let stand, never a question dodged; in auto mode it's a
gap evidence couldn't settle. The bar is checkable: an
implementer could build from it without asking a single question — a
question remaining means the spec isn't done. Then get explicit approval.
The spec is the contract for the review in done; vagueness here becomes
an argument later.
Step 2 — Plan as executable tasks
Explore first (read the relevant code; use Explore sub-agents for unfamiliar
areas so the main context stays clean), then write plan.md:
Each task is 2–5 minutes of work, names the exact files it touches,
cites the spec decision or assumption it implements ([D2, A1]) where
one applies, and
carries its own verification step (the command that proves this task
done). Small enough that a fresh sub-agent with no context could execute one
from its text alone.
Order by dependency; put the riskiest/unknown-most task first, not last.
End with the spec's end-to-end check as the final task.
Optional cross-model plan check (standard tier): before asking for
approval, if another model's agent CLI is installed (command -v codex,
command -v gemini — each checked separately, and look in ~/.local/bin
too, which non-login shells drop from PATH), send the plan for one
bounded review (~5-min timeout, prompt opening with "review only the
plan below — don't read other files"): infeasible tasks, hidden
dependencies or ordering problems, missing test coverage. Findings must
quote the plan line they're about; present them alongside the plan as
input to the user's approval, never as changes already applied. No CLI →
skip silently — a same-model check would mostly approve its own plan.
(Under autopilot, the critique loop that replaces this approval already
holds a cross-model critic seat — don't run this twice.)
Show the plan, invite edits, get approval. Human edits to plan.md are
welcome at any point — re-read it at every task boundary.
Step 3 — Execute: test-first, checkpoint, log
Per task, in order:
Red: write the failing test that captures this task's behavior. Run it;
confirm it fails for the right reason.
Green: the minimal code to pass. Run the task's verification step.
Commit: checkpoint with a descriptive message following the repo's
convention. Tick the checkbox, append to log.md.
Hard rules for the whole phase:
The plan is the scope contract. Discovered a needed change outside the
current task? Add it to plan.md as a new task (say so) — don't just do it.
If additions start reshaping the design, stop and revisit the spec with the
user.
Never edit or delete an existing test to make it pass. A test blocking
you is information — bring it to the user.
No new TODOs, skipped tests, or commented-out code as a way of getting
to green.
Two failed attempts at the same task → stop. Log what was tried, pick a
different approach or ask — don't grind the same wall.
Long plan and the user wants speed? Offer sub-agent execution: dispatch a
fresh agent per task (the plan's task text is its full briefing), review each
diff as it lands. Default remains main-agent execution — it's simpler and
usually right.
Auto mode — under autopilot
When the autopilot skill drives this loop (or the user explicitly asks
for auto mode), the approval gates become self-approvals on the record:
Step 1 interviews the codebase instead of the user — questions it can't
answer become numbered assumptions (A1…) in spec.md — and Step 2's
approval is a
bounded critique loop of parallel critics instead of a human yes. Every
gate decision lands in log.md with its reason. Everything else — sizing,
TDD, the scope contract, the hard rules — is unchanged.
Step 4 — Finish
Run the done skill: evidence checklist, fresh-context two-stage review,
then the commit/PR proposal. A feature is not finished because the last
checkbox is ticked — it's finished when done says ship and the user agrees.
Then archive the change folder.
Guardrails
Process serves the change. State the tier; never make a one-line fix
wait for a spec, and never let a multi-file change skip the plan.
Approval gates are real. Spec and plan wait for an explicit yes —
they're the user's cheapest chance to steer.
Evidence over claims at every level: failing test seen failing, passing
test seen passing, verification commands actually run.
Files over memory.plan.md/log.md are the truth; update the moment
reality changes.
Honest logging.log.md records failures and reversals too — the next
session needs the real story, not a highlight reel.
