openspec-apply-change
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
- License 许可
- MIT
- 最近更新
- 2026-11-09
- Stars
- ★ 6
- Forks
- 1
01 前言 Front Matter
- name
- openspec-apply-change
- license
- MIT
- metadata
- { "author": "openspec", "version": "1.1", "generatedBy": "1.3.0" }
- description
- Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
- compatibility
- Requires openspec CLI.
03 SKILL.md 正文
Implement tasks from an OpenSpec change.
Input: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.
Steps
-
Write apply-session start marker (required, added v1.1)
Before reading any context files or performing implementation, signal that this apply session is skill-orchestrated. The PreToolUse hook installed per
docs/rules/apply-skill-enforcement.rule.mdBLOCKS the firstEdit/Writeon a slice'swrite_pathsunless this marker exists for the current session.python .ai-playbook/scripts/openspec_apply_marker.py start --change-id "<name>" --skill-version 1.1The marker is appended to
openspec/changes/<name>/.apply_log.jsonl(one JSONL record per session start; committed to git for audit). If the helper script is missing (consumer pre-v0.14.0 of ai-playbook), the hook is also missing — proceed; older consumers see no enforcement. Inform the user that their playbook bump is overdue.See:
docs/rules/apply-skill-enforcement.rule.md§1 (marker contract) and §3 (break-glass viaAIPLAYBOOK_APPLY_ENFORCE_OVERRIDEenv). -
Select the change
If a name is provided, use it. Otherwise:
- Infer from conversation context if the user mentioned a change
- Auto-select if only one active change exists
- If ambiguous, run
openspec list --jsonto get available changes and use the AskUserQuestion tool to let the user select
Always announce: "Using change: <name>" and how to override (e.g.,
/opsx:apply <other>). -
Check status to understand the schema
openspec status --change "<name>" --jsonParse the JSON to understand:
schemaName: The workflow being used (e.g., "spec-driven")- Which artifact contains the tasks (typically "tasks" for spec-driven, check status for others)
-
Get apply instructions
openspec instructions apply --change "<name>" --jsonThis returns:
- Context file paths (varies by schema - could be proposal/specs/design/tasks or spec/tests/implementation/docs)
- Progress (total, complete, remaining)
- Task list with status
- Dynamic instruction based on current state
Handle states:
- If
state: "blocked"(missing artifacts): show message, suggest using openspec-continue-change - If
state: "all_done": congratulate, suggest archive - Otherwise: proceed to implementation
-
Read context files
Read the files listed in
contextFilesfrom the apply instructions output. The files depend on the schema being used:- spec-driven: proposal, specs, design, tasks
- Other schemas: follow the contextFiles from CLI output
4b. Preflight re-grep cited identifiers (added v0.11.0)
Per release-management.md §6.5 (pre-flight rebase) the worktree base is fresh, but proposal.md may have been written days earlier. Identifiers cited in the proposal (class names, function names, file paths, migration slot numbers, fact-kind enum values, ADR numbers) may have changed on main since the proposal landed. Apply silently against stale citations produces silent divergence.
Before starting implementation, re-grep every identifier the proposal/design/tasks cites:
-
Walk
proposal.md+design.md+tasks.mdand extract:- Quoted file paths (
apps/api/src/.../foo.py). - Backticked class / function names (
`IBClient`,`place_order`). - Migration slot numbers (
0007_*,0010_*). - ADR numbers (
ADR-021). - Enum values mentioned in citations.
- Quoted file paths (
-
For each, run
git grep -n "<identifier>"(orGreptool) onmain. -
If any cited identifier returns 0 hits, surface as a divergence warning:
⚠ Citation drift detected proposal.md cites `FactKindEnum.MOMENTUM_SCORE` but no occurrence found on main. Likely renamed or removed in a parallel slice merged after this proposal landed. Options: 1. Re-read the current main code to find the new name; update tasks.md citations. 2. Re-open Gate D for design refresh (recommended for ≥3 drifted citations). 3. Override with --skip-preflight-grep (logs deviation in retro carry-forward). -
If 1-2 identifiers drifted, show the diff and let the user decide (small drift is normal across week-old proposals).
-
If ≥3 identifiers drifted OR a critical surface (migration slot, FK, public API) drifted, refuse to proceed without explicit
--skip-preflight-grepflag.
This catches the failure mode (proposals written before parallel slices renamed cited classes) — without preflight grep, the worker AI would silently apply against drifted state and either fail at typecheck (best case) or ship broken code (worst case).
-
Show current progress
Display:
- Schema being used
- Progress: "N/M tasks complete"
- Remaining tasks overview
- Dynamic instruction from CLI
-
Implement tasks (loop until done or blocked)
For each pending task:
- Show which task is being worked on
- Make the code changes required
- Keep changes minimal and focused
- Mark task complete in the tasks file:
- [ ]→- [x] - Continue to next task
Pause if:
- Task is unclear → ask for clarification
- Implementation reveals a design issue → suggest updating artifacts
- Error or blocker encountered → report and wait for guidance
- User interrupts
-
On completion or pause, show status
Display:
- Tasks completed this session
- Overall progress: "N/M tasks complete"
- If all done: suggest archive
- If paused: explain why and wait for guidance
Output During Implementation
## Implementing: <change-name> (schema: <schema-name>)
Working on task 3/7: <task description>
[...implementation happening...]
✓ Task complete
Working on task 4/7: <task description>
[...implementation happening...]
✓ Task complete
Output On Completion
## Implementation Complete
**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 7/7 tasks complete ✓
### Completed This Session
- [x] Task 1
- [x] Task 2
...
All tasks complete! Ready to archive this change.
Output On Pause (Issue Encountered)
## Implementation Paused
**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 4/7 tasks complete
### Issue Encountered
<description of the issue>
**Options:**
1. <option 1>
2. <option 2>
3. Other approach
What would you like to do?
Guardrails
- Keep going through tasks until done or blocked
- Always read context files before starting (from the apply instructions output)
- If task is ambiguous, pause and ask before implementing
- If implementation reveals issues, pause and suggest artifact updates
- Keep code changes minimal and scoped to each task
- Update task checkbox immediately after completing each task
- Pause on errors, blockers, or unclear requirements - don't guess
- Use contextFiles from CLI output, don't assume specific file names
Fluid Workflow Integration
This skill supports the "actions on a change" model:
- Can be invoked anytime: Before all artifacts are done (if tasks exist), after partial implementation, interleaved with other actions
- Allows artifact updates: If implementation reveals design issues, suggest updating artifacts - not phase-locked, work fluidly
04 同仓库更多 Skills
sweep
Use when the user wants to find code that has quietly stopped being used — types /sweep, asks for a "dead code sweep", "repo entropy", "what can we delete", "orphan files", "unused code", or asks to review a sweep ledger. Adjudicates candidates a deterministic scanner already produced; it never deletes anything and never re-derives findings from raw source. Pairs with ponytail, which gates what gets written rather than what rots.
ponytail
Use when the user wants the laziest solution that actually works — types /ponytail, says "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Supports intensity levels lite, full, ultra (default). Pairs with caveman, which compresses prose, not code.
ponytail-review
Use when the user wants a code review focused exclusively on over-engineering — says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness/security review; this one only hunts complexity in the current diff. Gated by the ponytail review_ponytail component.
ponytail-debt
Use when the user wants to harvest every `ponytail:` comment in the codebase into a tracked debt ledger — says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing. Gated by the ponytail debt_ponytail component.
ponytail-audit
Use when the user wants a whole-repo audit for over-engineering — says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", or invokes /ponytail-audit. Like ponytail-review but scans the entire tree, not a diff. One-shot report, applies no fixes. Gated by the ponytail audit_ponytail component.
openspec-propose
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.