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Phoenix Loop

Phoenix Loop

dalomeve0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dalomeve/phoenix-loop

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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
# 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:

## 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:

# {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 | |----------|------------...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dalomeve/phoenix-loop
Version
—
Commit
03007964535c1e381d6ddef8efce2f7ea4022b01
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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 |
|----------|------------...

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