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Feature start

Skill enocgit/sdlc-kit/skills/feature-start

A portable, tool-agnostic, plan-gated pipeline for building quality software with AI agents.

Install
npx -y skills add enocgit/sdlc-kit --skill feature-start

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 24 days oldThe repository was created 24 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Starts implementation of one decomposed task: isolates a workspace (a feature branch by default; a git worktree only when isolation is critical), loads the relevant PRD, ADR, and frozen contract into context, then enters plan mode and proposes a per-task plan for approval before any code is written. Use at the start of Stage 4 (Implement) once scope is approved, or when the user says "start working on issue #N", "begin this task", or "let's implement {feature}".

SKILL.md

4.6 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

feature-start

Prepare a clean, well-contextualized starting point for implementing one task, then stop for a plan approval gate.

Steps

  1. Pick the task. Confirm the task's identifier and slug with the user. The identifier is the GitHub issue number by default; on another tracker its key (ENG-123); in local-only mode the # column of the task table in docs/progress.md. Never invent one. One task per run.
  2. Isolate the workspace — default to a feature branch. Create feat/{id}-{slug} directly. Only reach for an isolated git worktree (delegating to using-git-worktrees if installed) when isolation is genuinely critical — parallel work on multiple features, or disposable experiments — or when the user asks. Either way, FIRST run these guards (the worktree skill does them for you; the branch path must not skip them):
    • Clean tree: git status --porcelain is empty — nothing uncommitted to clobber. If the only change is the local-only tracker (docs/progress.md) that Decompose just wrote, ask to commit it and continue once approved — this is the gate that clears it. If the default branch is PR-protected, a direct commit there can never be pushed: land it via a plan/{NNNN}-{slug} branch → PR → merge first, same as any other planning commit (AGENTS.md → Where planning commits land), then branch feat/* from the updated default branch. Anything else: stop.
    • Fresh base: check out the default branch and bring it up to date before branching — a stale base is as bad as a dirty tree. With an upstream (git rev-parse --abbrev-ref '@{upstream}' succeeds), git pull. With a remote but no upstream — before the first push, or after tracking was removed — don't assume local is current. First resolve which remote is authoritative: exactly one → use it; several (origin plus a fork or mirror) → ask which owns the default branch, never guess, since fast-forwarding from a fork bases the work on the wrong history. Then git fetch that remote and fast-forward onto its {default}, which may have advanced. Only a repo with no remote at all is latest by definition. If the remote is unreachable (offline, expired auth), don't declare local fresh — fast-forward onto its cached remote-tracking ref if that is ahead, and if freshness still can't be verified, say so and let the human choose rather than branching from a maybe-stale base (auth the cause? surface the one-time fix — AGENTS.md → Guardrails). Never fail the guard over a missing upstream.
    • Green baseline: install deps and run the test suite once; if it's already red, stop and report — don't start work on a broken baseline. Then create feat/{id}-{slug} using the identifier from step 1. One feature per workspace; don't touch other branches.
  3. Load context. Read into context:
    • docs/context.md (domain, glossary, hard constraints — incl. retro learnings from prior cycles)
    • The feature's PRD in docs/prd/
    • Any ADR(s) it depends on in docs/adr/
    • The frozen contract artifact (OpenAPI/tRPC/schema) the task implements against
    • docs/test-strategy.md (Definition of Done + which layer to test at)
  4. Plan. Enter plan mode. Produce a granular plan (small steps, exact file paths, the tests you'll write first). Hand off to executing-plans / test-driven-development for execution.
  5. GATE. Present the plan. Ask for approval before writing any code.

Rules

  • Implement strictly against the frozen contract. If you discover the contract is wrong, STOP and raise it — a contract change is a decision (new/updated ADR), not an inline edit.
  • If the task is bigger than ~a day of work, propose splitting it before starting.
  • Keep the SDLC status header on every user-facing message, just like the conductor — open with SDLC ▸ Stage 4/8 Implement · task #N · {next: plan approval / …}. You're inside the pipeline even though sdlc isn't the active skill; don't drop the header once implementation starts.
  • Don't commit or push unless asked.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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