Task Router Skill
Task Router
Phoenix Loop
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install dalomeve/phoenix-loop打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Rise from failures. Complete tasks persistently.
When the agent encounters blockers, failures, or repeated friction, this skill starts a self-healing loop: Diagnose -> Extract -> Crystallize -> Verify.
# Read recent blocked items
Get-Content memory/blocked-items.md | Select-String "Blocker" -Context 3
# Extract failure patterns
Get-Content memory/tasks.md | Select-String "Status: failed" -Context 5
Diagnosis Checklist:
Extract reusable patterns from failures:
## Failure Pattern: {pattern_name}
- Trigger: {when_this_happens}
- Root Cause: {root_cause}
- Solution: {fix_steps}
- Verification: {verification_criteria}
Write the lesson to a local skill:
skills/local/{pattern_name}-recovery.md
Skill Template:
# {Pattern Name} Recovery
## Trigger
When {condition} happens
## Steps
1. {step_1}
2. {step_2}
3. {step_3}
## Verification
- [ ] {check_1}
- [ ] {check_2}
## Fallback
If failed, execute {fallback_action}
Next time a similar issue occurs:
skills/local/ for matching skillsmemory/{date}.md
All data stored locally:
skills/local/ local directorySensitive Data Filter: Before writing to any memory or skill, check and remove:
apiKey, token, secret, password
Bearer , sk-, OPENCLAW_
A phoenix-loop task is complete if and only if:
| Criteria | Verification Command | |----------|------------...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Phoenix Loop
Rise from failures. Complete tasks persistently.
When the agent encounters blockers, failures, or repeated friction, this skill starts a self-healing loop: Diagnose -> Extract -> Crystallize -> Verify.
## Core Mechanism
### 1. Diagnose
```powershell
# Read recent blocked items
Get-Content memory/blocked-items.md | Select-String "Blocker" -Context 3
# Extract failure patterns
Get-Content memory/tasks.md | Select-String "Status: failed" -Context 5
```
**Diagnosis Checklist**:
- [ ] Is the failure cause clearly stated?
- [ ] Were at least 2 solution paths attempted?
- [ ] Is minimum unblock input defined?
### 2. Extract
Extract reusable patterns from failures:
```markdown
## Failure Pattern: {pattern_name}
- Trigger: {when_this_happens}
- Root Cause: {root_cause}
- Solution: {fix_steps}
- Verification: {verification_criteria}
```
### 3. Crystallize
Write the lesson to a local skill:
```
skills/local/{pattern_name}-recovery.md
```
**Skill Template**:
```markdown
# {Pattern Name} Recovery
## Trigger
When {condition} happens
## Steps
1. {step_1}
2. {step_2}
3. {step_3}
## Verification
- [ ] {check_1}
- [ ] {check_2}
## Fallback
If failed, execute {fallback_action}
```
### 4. Verify
Next time a similar issue occurs:
1. Search `skills/local/` for matching skills
2. Execute recovery steps
3. Log result to `memory/{date}.md`
4. Update skill if needed
## Privacy Security
**All data stored locally**:
- NO external logging of failure data
- NO API keys or tokens in skill files
- NO upload of user task content
- Only pattern names and solution steps recorded
- Skills stored in `skills/local/` local directory
**Sensitive Data Filter**:
Before writing to any memory or skill, check and remove:
- `apiKey`, `token`, `secret`, `password`
- `Bearer `, `sk-`, `OPENCLAW_`
- Personal emails, phones, addresses
## Executable Completion Criteria
A phoenix-loop task is complete if and only if:
| Criteria | Verification Command |
|----------|------------...Task Router
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