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feat(skills): add per-task skill spec auto-detection and injection

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Replace external inject-spec.py hook with built-in zero-config skill
detection in codeagent-wrapper. The system auto-detects project type
from fingerprint files (go.mod, package.json, etc.), maps to installed
skills, and injects SKILL.md content directly into sub-agent prompts.

Key changes:
- Add DetectProjectSkills/ResolveSkillContent in executor/prompt.go
- Add Skills field to TaskSpec with parallel config parsing
- Add --skills CLI flag for explicit override
- Update /do SKILL.md Phase 4 with per-task skill examples
- Remove on-stop.py global hook (not needed)
- Replace inject-spec.py with no-op (detection now internal)
- Add 20 unit tests covering detection, resolution, budget, security

Security: path traversal protection via validSkillName regex,
16K char budget with tag overhead accounting, CRLF normalization.

Generated with SWE-Agent.ai

Co-Authored-By: SWE-Agent.ai <noreply@swe-agent.ai>
This commit is contained in:
cexll
2026-02-09 11:06:36 +08:00
parent 5853539cab
commit 97dfa907d9
24 changed files with 1699 additions and 419 deletions
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46
skills/do/README.md
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@@ -52,7 +52,7 @@ To customize agents, create same-named files in `~/.codeagent/agents/` to overri
3. **Phase 4 requires approval** - stop after Phase 3 if not approved
4. **Pass complete context forward** - every agent gets the Context Pack
5. **Parallel-first** - run independent tasks via `codeagent-wrapper --parallel`
6. **Update state after each phase** - keep `.claude/do.{task_id}.local.md` current
6. **Update state after each phase** - keep `.claude/do-tasks/{task_id}/task.json` current
## Context Pack Template
@@ -78,16 +78,34 @@ To customize agents, create same-named files in `~/.codeagent/agents/` to overri
## Loop State Management
When triggered via `/do <task>`, initializes `.claude/do.{task_id}.local.md` with:
- `active: true`
- `current_phase: 1`
- `max_phases: 5`
- `completion_promise: "<promise>DO_COMPLETE</promise>"`
After each phase, update frontmatter:
When triggered via `/do <task>`, initializes `.claude/do-tasks/{task_id}/task.md` with YAML frontmatter:
```yaml
current_phase: <next phase number>
phase_name: "<next phase name>"
---
id: "<task_id>"
title: "<task description>"
status: "in_progress"
current_phase: 1
phase_name: "Understand"
max_phases: 5
use_worktree: false
created_at: "<ISO timestamp>"
completion_promise: "<promise>DO_COMPLETE</promise>"
---
# Requirements
<task description>
## Context
## Progress
```
The current task is tracked in `.claude/do-tasks/.current-task`.
After each phase, update `task.md` frontmatter via:
```bash
python3 ".claude/skills/do/scripts/task.py" update-phase <N>
```
When all 5 phases complete, output:
@@ -95,17 +113,17 @@ When all 5 phases complete, output:
<promise>DO_COMPLETE</promise>
```
To abort early, set `active: false` in the state file.
To abort early, manually edit `task.md` and set `status: "cancelled"` in the frontmatter.
## Stop Hook
A Stop hook is registered after installation:
1. Creates `.claude/do.{task_id}.local.md` state file
2. Updates `current_phase` after each phase
1. Creates `.claude/do-tasks/{task_id}/task.md` state file
2. Updates `current_phase` in frontmatter after each phase
3. Stop hook checks state, blocks exit if incomplete
4. Outputs `<promise>DO_COMPLETE</promise>` when finished
Manual exit: Set `active` to `false` in the state file.
Manual exit: Edit `task.md` and set `status: "cancelled"` in the frontmatter.
## Parallel Execution Examples