spectra-apply

name	spectra-apply
description	Implement or resume tasks from an OpenSpec change
license	MIT
compatibility	Requires openspec CLI.
metadata	{"author":"spectra","version":"1.0","generatedBy":"Spectra"}

Implement tasks from an OpenSpec change.

Input: Optionally specify a change name (e.g., /spectra:apply add-auth). If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

Task tracking is file-based only. The tasks file's markdown checkboxes (- [ ] / - [x]) are the single source of truth for progress. Do NOT use any external task management system, built-in task tracker, or todo tool. When a task is done, edit the checkbox in the tasks file — that is the only way to record progress.

Prerequisites: This skill requires the spectra CLI. If any spectra command fails with "command not found" or similar, report the error and STOP.

Steps

1. 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 spectra list --json AND spectra list --parked --json to get all available changes (including parked ones). Parked changes should be annotated with "(parked)" in the selection list. Use the AskUserQuestion tool to let the user select

   Always announce: "Using change: " and how to override (e.g., /spectra:apply <other>).

2. Check status to understand the schema

   spectra status --change "<name>" --json 2>/dev/null
   

   If the command fails: show the error and STOP.

   If the command succeeds, check whether the change is parked (status can succeed even for parked changes):

   spectra list --parked --json
   

   Look for the change name in the parked array of the JSON output.

   • If the change IS in the parked list (it's parked): Inform the user that this change is currently parked（暫存）. Use the AskUserQuestion tool to ask whether to continue. Two options:

     • Continue: Unpark the change and proceed with apply
     • Cancel: Stop the workflow

     If the user chooses to continue:

     spectra unpark "<name>"
     

     Then mark it as in-progress:

     spectra in-progress add "<name>"
     

     This is a silent operation — do not show the output to the user.

     Then re-run spectra status --change "<name>" --json and continue normally.

     If there is no AskUserQuestion tool available (non-Claude-Code environment): Inform the user that this change is currently parked（暫存）and ask via plain text whether to unpark and continue, or cancel. Wait for the user's response. If the user confirms, run spectra unpark "<name>", then set spectra in-progress add "<name>", and continue normally.

   • If the change is NOT in the parked list: mark it as in-progress and proceed normally.

     spectra in-progress add "<name>"
     

     This is a silent operation — do not show the output to the user.

   Parse 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)

3. Get apply instructions

   spectra instructions apply --change "<name>" --json
   

   This returns:

   • Context file paths (varies by schema)
   • 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 /spectra:propose to create the change artifacts first
   • If state: "all_done": congratulate, suggest archive
   • Otherwise: proceed to implementation

4. Read context files

   Read the files listed in contextFiles from 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

5. Check project preferences

   Read openspec/config.yaml in the project root. If tdd: true is set, apply TDD discipline throughout implementation:

   • For each task, write a failing test FIRST, then implement to make it pass
   • Fetch TDD instructions by running spectra instructions --skill tdd, then follow the Red-Green-Refactor cycle
   • For bug fixes, reproduce the bug with a failing test before fixing

   If audit: true is set, apply sharp-edges discipline throughout implementation:

   • When designing APIs or interfaces, evaluate through 3 adversary lenses (Scoundrel, Lazy Developer, Confused Developer)
   • When adding configuration options, verify defaults are secure and zero/empty values are safe
   • When accepting parameters, check for type confusion and silent failures
   • Fetch audit instructions by running spectra instructions --skill audit, follow the discipline checklist (not the standalone 3-agent workflow)

   If parallel_tasks: true is set, check whether consecutive pending tasks have [P] markers (format: - [ ] [P] Task description). You SHALL dispatch consecutive [P] tasks as parallel agents. Only fall back to sequential when tasks have a data dependency (one task's output is another's input) or when tasks modify overlapping regions of the same file. Targeting the same file alone is NOT a reason to skip parallel dispatch — if the modified regions are disjoint, dispatch in parallel. If the environment does not support parallel execution, ignore [P] markers and execute tasks sequentially.

6. Show current progress

   Display:

   • Schema being used
   • Progress: "N/M tasks complete"
   • Remaining tasks overview
   • Dynamic instruction from CLI

7. Implement tasks (loop until done or blocked)

   Reminder: Track progress by editing checkboxes in the tasks file only. Do not use any built-in task tracker.

   For each pending task:

   • Show which task is being worked on
   • Re-read the sections of design and spec files that are relevant to this task's scope — do not rely on memory from earlier in the conversation, as context may have been compressed
   • Before writing code, check:
     1. Reuse — search adjacent modules and shared utilities for existing implementations before writing new code
     2. Quality — derive values from existing state instead of duplicating; use existing types and constants over new literals
     3. Efficiency — parallelize independent async operations; avoid unnecessary awaits; match operation scope to actual need
   • Make the code changes required
   • Keep changes minimal and focused
   • Mark task complete in the tasks file: - [ ] → - [x]
   • Continue to next task

   Parallel task dispatch: When consecutive [P]-marked tasks are found and parallel_tasks: true is configured (see Step 5), dispatch them as parallel agents in a single message. If any [P] task fails, pause and report.

   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

8. Final check

   After completing all tasks, re-run:

   spectra instructions apply --change "<name>" --json
   

   Confirm state: "all_done". If not, review remaining tasks and complete them.

9. 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! You can archive this change with `/spectra:archive`.

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
• No external task tracking — do not use any built-in task management, todo list, or progress tracking tool; the tasks file is the only system
• If AskUserQuestion tool is not available, ask the same questions as plain text and wait for the user's response

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