add-repo
Register one new repo into an already-bootstrapped workspace, without disturbing repos already registered or re-running the full interview. USER-ENTRY — invoke…
Refine, analyze, improve, and groom user stories / work items for quality — readiness reports, template restructuring, adaptive gap-filling, and codebase-aware technical grooming. USER-ENTRY and HUMAN-ONLY — invoke only when the user explicitly runs /story-workflow <command>;
$ npx -y skills add MostAshraf/ai-sdlc-harness --skill story-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/story-workflowContext preview
The summary Claude sees to decide when to auto-load this skill.
Refine, analyze, improve, and groom user stories / work items for quality — readiness reports, template restructuring, adaptive gap-filling, and codebase-aware technical grooming. USER-ENTRY and HUMAN-ONLY — invoke only when the user explicitly runs /story-workflow <command>;
name: story-workflow description: > Refine, analyze, improve, and groom user stories / work items for quality — readiness reports, template restructuring, adaptive gap-filling, and codebase-aware technical grooming. USER-ENTRY and HUMAN-ONLY — invoke only when the user explicitly runs /story-workflow <command>; never autonomously from conversation, never from a subagent (guard-enforced). Distinct from the /dev-workflow pipeline: this shapes the story itself, it does not build it.
Improves work-item quality through four commands. Read-mostly: it fetches a work item, helps shape it, and — only with the user's consent — posts the result back as a comment. It never starts a dev run and never touches `ai/<run>/` run state.
Every harness call is `${CLAUDE_PLUGIN_ROOT}/bin/harness <verb> …` — the full path, run by you via Bash (a bare `harness` is not on PATH, and shell variables set in one Bash call do not persist to the next). Non-zero exit = refused; read the JSON error and act on it.
/story-workflow <command> <work-item-id> [session-notes…]
`<command>` is one of `analyze`, `refine`, `improve`, `groom`. `<work-item-id>` is whatever the configured provider uses — a number (ADO / GitHub / GitLab), a key (`PROJ-123`, Jira), or, for `local-markdown`, the story's **id** (the file stem inside `provider.stories_dir`, e.g. `WORK-7` for `WORK-7.md` — not a path). Any trailing tokens are session notes, passed through to `improve` and `refine`.
| command | file | one-line | |---|---|---| | `improve` | `commands/improve.md` | adaptive single-pass: assess → gap-fill → draft (the recommended default) | | `analyze` | `commands/analyze.md` | standalone readiness report with flags | | `refine` | `commands/refine.md` | slow, section-by-section interactive restructure | | `groom` | `commands/groom.md` | codebase-aware per-repo technical notes |
Parse `$ARGUMENTS`: the first token is the command, the second is the work-item id, the rest are notes. If the command is missing or unknown, print the usage line plus the table above and stop — do not guess. If the id is missing, ask for it — never proceed without one. Then read the one matching command file and follow it (context economy: load a single command file, not all four).
1. Confirm the workspace is bootstrapped: `.claude/context/provider.yaml` must exist. If it doesn't, `/init-workspace` never ran — send the user there and stop. The active provider is resolved from config by the harness; you never hand-pick it. 2. The recipe for fetching a work item and posting a result back — for every provider and both transports — lives once in `shared/provider-io.md`. Read it; the commands cite it instead of repeating it. 3. Domain and convention context (for `improve` and `groom`) lives once in `shared/context.md`.
fields — post back as a **comment** only. The single exception is a `local-markdown` story the user explicitly asks you to rewrite in place; see `shared/provider-io.md`.
assertion of what "should" be there.
command runs.
valuable outcome — don't manufacture flags or questions to look busy.
A governed multi-agent SDLC pipeline for Claude Code and Qwen Code — a ground-up rewrite of ai-sdlc-harness.
Register one new repo into an already-bootstrapped workspace, without disturbing repos already registered or re-running the full interview. USER-ENTRY — invoke…
Run the governed SDLC pipeline for a work item. USER-ENTRY — invoke only when the user explicitly runs /dev-workflow <work-item-id>; never trigger autonomously…
One-time workspace setup for the ai-sdlc-harness pipeline. USER-ENTRY and HUMAN-ONLY — invoke only when the user explicitly runs /init-workspace; never…
Adopt a v2.x ai-sdlc-harness workspace into v3.0 — config carries over, run history stays archived in place. USER-ENTRY and HUMAN-ONLY — invoke only when the…
Regenerate the auto-generated repo map the planner grounds its plans in. USER-ENTRY — invoke only when the user explicitly runs /repo-map-refresh; never…
Read-only dashboard of ai-sdlc-harness runs in this workspace. USER-ENTRY — invoke only when the user explicitly runs /workflow-status; never autonomously,…