# Send Pi Workflow Orchestration to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "pi-workflow",
    "name": "Pi Workflow Orchestration",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/kai-tw/pi-workflow",
    "canonicalUrl": "https://clawhub.ai/kai-tw/pi-workflow",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/pi-workflow",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=pi-workflow",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "HOOKS-INTEGRATION-COMPLETE.md",
      "README.md",
      "SKILL.md",
      "hooks/openclaw/HOOK.md",
      "hooks/openclaw/handler.js",
      "hooks/openclaw/handler.ts"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "pi-workflow",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T01:53:08.520Z",
      "expiresAt": "2026-05-14T01:53:08.520Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=pi-workflow",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=pi-workflow",
        "contentDisposition": "attachment; filename=\"pi-workflow-1.1.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "pi-workflow"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/pi-workflow"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/pi-workflow",
    "downloadUrl": "https://openagent3.xyz/downloads/pi-workflow",
    "agentUrl": "https://openagent3.xyz/skills/pi-workflow/agent",
    "manifestUrl": "https://openagent3.xyz/skills/pi-workflow/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/pi-workflow/agent.md"
  }
}
```
## Documentation

### Pi Workflow Orchestration

This skill provides Pi's structured approach to task management, quality assurance, and continuous self-improvement.

### 1. Plan Node Default

Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions):

Write detailed specs upfront to reduce ambiguity
If something goes sideways, STOP and re-plan immediately—don't keep pushing
Use plan mode for verification steps, not just building

### 2. Subagent Strategy

Use subagents liberally to keep main context window clean
Offload research, exploration, and parallel analysis to subagents
For complex problems, throw more compute at it via subagents
One tack per subagent for focused execution

### 3. Self-Improvement Loop

After ANY correction from the user: update tasks/lessons.md with metadata (Priority, Status, Area, Pattern-Key)
Log command failures to tasks/errors.md for diagnosis patterns
Log feature requests to tasks/feature_requests.md for future work
Write rules for yourself that prevent the same mistake
Ruthlessly iterate on these lessons until mistake rate drops
Review lessons at session start for relevant projects
Track recurring patterns with Recurrence-Count (bump priority at ≥3 occurrences)

### 4. Verification Before Done

Never mark a task complete without proving it works
Diff behavior between main and your changes when relevant
Ask yourself: "Would a staff engineer approve this?"
Run tests, check logs, demonstrate correctness

### 5. Demand Elegance (Balanced)

For non-trivial changes: pause and ask "is there a more elegant way?"
If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"
Skip this for simple, obvious fixes—don't over-engineer
Challenge your own work before presenting it

### 6. Autonomous Bug Fixing

When given a bug report: just fix it. Don't ask for hand-holding
Point at logs, errors, failing tests—then resolve them
Zero context switching required from the user
Go fix failing CI tests without being told how

### Task Management

Plan First: Write plan to tasks/todo.md with checkable items
Verify Plan: Check in before starting implementation
Track Progress: Mark items complete as you go
Explain Changes: High-level summary at each step
Document Results: Add review section to tasks/todo.md
Capture Lessons: Update tasks/lessons.md after corrections

### File Organization

tasks/todo.md — active sprint (current project)
tasks/lessons.md — corrections, insights, best practices (structured)
tasks/errors.md — command failures, API errors, exceptions (NEW)
tasks/feature_requests.md — missing capabilities, feature requests (NEW)
memory/YYYY-MM-DD.md — session logs (daily)
MEMORY.md — your curated memories (maintained by user)

See WORKFLOW_ORCHESTRATION.md for detailed reference.

See LESSONS.md for philosophy and framing.

See PHASE1-PHASE2-ENHANCED-LESSONS.md for structured lesson format and file separation.

See LESSONS_UPDATE_GUIDE.md for syncing lessons from workspace to skill.

### Lessons Format (Phase 1+2 Enhanced)

Each lesson gets structured metadata for filtering and recurring pattern detection:

## [LRN-YYYYMMDD-XXX] rule_name (category)

**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending | in_progress | resolved | promoted
**Area**: backend | infra | tests | docs | config
**Pattern-Key**: category.pattern_name (optional, for recurring detection)

### Summary
One-line description

### Details
Full context and examples

### Applied to
Projects or files where this was used

### Metadata
- Source: correction | insight | user_feedback
- Related Files: path/to/file
- Tags: tag1, tag2
- See Also: LRN-20250225-001 (if related to existing entry)
- Recurrence-Count: 1 (increment if you see it again)
- First-Seen: 2025-02-23
- Last-Seen: 2025-02-23

### Errors & Features (NEW)

Log failures and feature gaps separately for better organization:

Errors (tasks/errors.md):

Command failures, API errors, exceptions
Include reproducibility, environment, suggested fix

Features (tasks/feature_requests.md):

Missing capabilities, things you wish existed
Include complexity estimate and suggested implementation

### Syncing to Skill

Periodically merge workspace lessons into the published skill:

# From openclaw-workflow repo
python3 scripts/sync_lessons.py --workspace ~/.openclaw/workspace

# Dry run (preview changes)
python3 scripts/sync_lessons.py --workspace ~/.openclaw/workspace --dry-run

This merges workspace lessons into references/lessons.md for version control and sharing.

### Hooks (Optional)

Enable automatic bootstrap reminders for self-improvement:

openclaw hooks enable pi-workflow

This injects a reminder at session start showing:

When to log lessons/errors/features
Format and metadata fields
Recurring pattern detection
Promotion paths

See hooks/openclaw/HOOK.md for details.

### Core Principles

Simplicity First: Make every change as simple as possible. Minimal code impact.
No Laziness: Find root causes. No temporary fixes. Senior developer standards.
Minimal Impact: Changes should only touch what's necessary. Avoid introducing bugs.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: kai-tw
- Version: 1.1.1
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-07T01:53:08.520Z
- Expires at: 2026-05-14T01:53:08.520Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/pi-workflow)
- [Send to Agent page](https://openagent3.xyz/skills/pi-workflow/agent)
- [JSON manifest](https://openagent3.xyz/skills/pi-workflow/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/pi-workflow/agent.md)
- [Download page](https://openagent3.xyz/downloads/pi-workflow)