According to AlphaMoat, as of 2026-09, PIV - Plan Implement Validate has 3,982 downloads and 2 stars — ranked #2,581 of 5,078 AI skills overall, and #505 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 127 | 3.8K | 2 | 2 |
| SkillHub ↗ | 248 | 4.0K | 2 | — |
Platforms count differently and update at different times.
Organize phased software development through a Plan, Implement, Validate loop, including planning documents, codebase analysis, and iterative validation. Review scope, validation commands, and each phase’s results before making code changes.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.0K | — | 2 |
| 2026-08 | 3.7K | +3.4% | 2 |
| 2026-07 | 3.6K | +7.5% | 2 |
| 2026-06 | 3.4K | +4.2% | 2 |
| 2026-05 | 3.2K | — | 2 |
| 2026-03 | 2.7K | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: piv
description: "PIV workflow orchestrator - Plan, Implement, Validate loop for systematic multi-phase software development. Use when building features phase-by-phase with PRPs, automated validation loops, or multi-agent orchestration. Supports PRD creation, PRP generation, codebase analysis, and iterative execution with validation."
user-invocable: true
disable-model-invocation: true
metadata: {"openclaw":{"emoji":"gear","homepage":"https://github.com/SmokeAlot420/ftw","requires":{"bins":["git"]},"os":["darwin","linux"]}}
---
# PIV Ralph Orchestrator
## Arguments: $ARGUMENTS
Parse arguments using this logic:
### PRD Path Mode (first argument ends with `.md`)
If the first argument ends with `.md`, it's a direct path to a PRD file:
- `PRD_PATH` - Direct path to the PRD file
- `PROJECT_PATH` - Derived by going up from PRDs/ folder
- `START_PHASE` - Second argument (default: 1)
- `END_PHASE` - Third argument (default: auto-detect from PRD)
### Project Path Mode
If the first argument does NOT end with `.md`:
- `PROJECT_PATH` - Absolute path to project (default: current working directory)
- `START_PHASE` - Second argument (default: 1)
- `END_PHASE` - Third argument (default: 4)
- `PRD_PATH` - Auto-discover from `PROJECT_PATH/PRDs/` folder
### Detection Logic
```
If $ARGUMENTS[0] ends with ".md":
PRD_PATH = $ARGUMENTS[0]
PROJECT_PATH = dirname(dirname(PRD_PATH))
START_PHASE = $ARGUMENTS[1] or 1
END_PHASE = $ARGUMENTS[2] or auto-detect from PRD
PRD_NAME = basename without extension
Else:
PROJECT_PATH = $ARGUMENTS[0] or current working directory
START_PHASE = $ARGUMENTS[1] or 1
END_PHASE = $ARGUMENTS[2] or 4
PRD_PATH = auto-discover from PROJECT_PATH/PRDs/
PRD_NAME = discovered PRD basename
```
---
## Required Reading by Role
**CRITICAL: Each role MUST read their instruction files before acting.**
| Role | Instructions |
|------|-------------|
| PRD Creation | Read {baseDir}/references/create-prd.md |
| PRP Generation | Read {baseDir}/references/generate-prp.md |
| Codebase Analysis | Read {baseDir}/references/codebase-analysis.md |
| Executor | Read {baseDir}/references/piv-executor.md + {baseDir}/references/execute-prp.md |
| Validator | Read {baseDir}/references/piv-validator.md |
| Debugger | Read {baseDir}/references/piv-debugger.md |
**Prerequisite:** A PRD must exist. If none found, tell user to create one first.
---
## Orchestrator Philosophy
> "Context budget: ~15% orchestrator, 100% fresh per subagent"
You are the **orchestrator**. You stay lean and manage workflow. You DO NOT execute PRPs yourself - you spawn specialized sub-agents with fresh context for each task.
**Sub-agent spawning:** Use the `sessions_spawn` tool to create fresh sub-agent sessions. Each spawn is non-blocking — you'll receive results via an announce step. Wait for each agent's results before proceeding to the next step.
---
## Project Setup (piv-init)
If the project doesn't have PIV directories, create them:
```bash
mkdir -p PROJECT_PATH/PRDs PROJECT_PATH/PRPs/templates PROJECT_PATH/PRPs/planning
```
Copy `{baseDir}/assets/prp_base.md` to `PROJECT_PATH/PRPs/templates/prp_base.md` if it doesn't exist.
Create `PROJECT_PATH/WORKFLOW.md` from `{baseDir}/assets/workflow-template.md` if it doesn't exist.
---
## Phase Workflow
For each phase from START_PHASE to END_PHASE:
### Step 1: Check/Generate PRP
Check for existing PRP:
```bash
ls -la PROJECT_PATH/PRPs/ 2>/dev/null | grep -i "phase.*N\|pN\|p-N"
```
If no PRP exists, spawn a **fresh sub-agent** using `sessions_spawn` to do both codebase analysis and PRP generation in sequence:
```
RESEARCH & PRP GENERATION MISSION - Phase {N}
==============================================
Project root: {PROJECT_PATH}
PRD Path: {PRD_PATH}
## Phase {N} Scope (from PRD)
{paste phase scope}
## Step 1: Codebase Analysis
Read {baseDir}/references/codebase-analysis.md for the process.
Save to: {PROJECT_PATH}/PRPs/planning/{PRD_NAME}-phase-{N}-analysis.md
## Step 2: Generate PRP (analysis context still loaded)
Read {baseDir}/references/generate-prp.md for the process.
Use template: PRPs/templates/prp_base.md
Output to: {PROJECT_PATH}/PRPs/PRP-{PRD_NAME}-phase-{N}.md
Do BOTH steps yourself. DO NOT spawn sub-agents.
```
### Step 2: Spawn EXECUTOR
Spawn a fresh sub-agent using `sessions_spawn`:
```
EXECUTOR MISSION - Phase {N}
============================
Read {baseDir}/references/piv-executor.md for your role definition.
Read {baseDir}/references/execute-prp.md for the execution process.
PRP Path: {PRP_PATH}
Project: {PROJECT_PATH}
Follow: Load PRP → Plan Thoroughly → Execute → Validate → Verify
Output EXECUTION SUMMARY with Status, Files, Tests, Issues.
```
### Step 3: Spawn VALIDATOR
Spawn a fresh sub-agent using `sessions_spawn`:
```
VALIDATOR MISSION - Phase {N}
=============================
Read {baseDir}/references/piv-validator.md for your validation process.
PRP Path: {PRP_PATH}
Project: {PROJECT_PATH}
Executor Summary: {SUMMARY}
Verify ALL requirements independently.
Output VERIFICATION REPORT with Grade, Checks, Gaps.
```
**Process result:** PASS → commit | GAPS_FOUND → debugger | HUMAN_NEEDED → ask user
### Step 4: Debug Loop (Max 3 iterations)
Spawn a fresh sub-agent using `sessions_spawn`:
```
DEBUGGER MISSION - Phase {N} - Iteration {I}
============================================
Read {baseDir}/references/piv-debugger.md for your debugging methodology.
Project: {PROJECT_PATH}
PRP Path: {PRP_PATH}
Gaps: {GAPS}
Errors: {ERRORS}
Fix root causes, not symptoms. Run tests after each fix.
Output FIX REPORT with Status, Fixes Applied, Test Results.
```
After debugger: re-validate → PASS (commit) or loop (max 3) or escalate.
### Step 5: Smart Commit
```bash
cd PROJECT_PATH && git status && git diff --stat
```
Create semantic commit with `Built with FTW (First Try Works) - https://github.com/SmokeAlot420/ftw`.
### Step 6: Update WORKFLOW.md
Mark phase complete, note validation results.
### Step 7: Next Phase
Loop back to Step 1 for next phase.
---
## Error Handling
- **No PRD**: Tell user to create one first
- **Executor BLOCKED**: Ask user for guidance
- **Validator HUMAN_NEEDED**: Ask user for guidance
- **3 debug cycles exhausted**: Escalate to user
### Sub-Agent Timeout/Failure
When a sub-agent times out or fails:
1. Check for partial work (files created, tests written)
2. Retry once with a simplified, shorter prompt
3. If retry fails, escalate to user with what was accomplished
---
## Completion
```
## PIV RALPH COMPLETE
Phases Completed: START to END
Total Commits: N
Validation Cycles: M
### Phase Summary:
- Phase 1: [feature] - validated in N cycles
...
All phases successfully implemented and validated.
```
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.