rpi
Use when implementing features from Jira tickets, PRDs, or user requirements. Orchestrates Research-Plan-Implement workflow with quality gates.
Best use case
rpi is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when implementing features from Jira tickets, PRDs, or user requirements. Orchestrates Research-Plan-Implement workflow with quality gates.
Teams using rpi should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rpi/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How rpi Compares
| Feature / Agent | rpi | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when implementing features from Jira tickets, PRDs, or user requirements. Orchestrates Research-Plan-Implement workflow with quality gates.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# RPI - Research, Plan, Implement (Orchestrator)
Full workflow orchestrator that invokes individual skills in sequence with quality gates.
```
Input → Research → Audit → Plan → Audit → Approve → Implement → Code Review
```
---
## Agent Compatibility
- OUTPUT_DIR: `.claude/output` for Claude Code, `.codex/output` for Codex CLI.
- Invoke sub-skills with the Skill tool (Claude Code) or by naming the skill in the prompt (Codex CLI / Copilot CLI).
## When to Use
- User provides a Jira issue key (e.g., KB-1234)
- User provides a Confluence PRD URL
- User describes a feature to implement
---
## Step 1: Input & Feature Naming
Derive **feature name** from input (used for all output files):
- Jira key `KB-1234` → `kb-1234`
- Confluence URL → sanitized page title slug
- Direct prompt → short slug, max 30 chars (e.g., `export-csv`)
**Resume:** If output files for this feature already exist in OUTPUT_DIR (e.g., `research-{feature}.md`), read them and skip to the appropriate step.
---
## Step 2: Research
Invoke `/research {input}`. Produces `OUTPUT_DIR/research-{feature}.md`.
---
## Step 3: Research Audit
Invoke `/audit research`. Quality gate:
| Check | Gate |
|-------|------|
| All requirements traceable | No phantom requirements |
| Confidence high enough to plan | No major open unknowns |
**FAIL** → Stop, report findings, ask user for clarification, re-run `/research`.
**PASS** → Proceed.
---
## Step 4: Plan
Invoke `/plan`. Produces `OUTPUT_DIR/plan-{feature}.md`.
---
## Step 5: Plan Audit
Invoke `/audit plan`. Quality gate:
| Check | Gate |
|-------|------|
| Every requirement has a task | Full traceability |
| No unnecessary scope added | No overengineering |
| No requirements missed | No underengineering |
| Follows AGENTS.md patterns | Pattern compliance |
**FAIL** → Revise plan, re-run `/audit plan`.
**PASS** → Proceed.
---
## Step 6: User Approval
Present a concise plan summary:
```
Feature: {feature name}
Tasks: {count} | New files: {n} | Modified: {n}
Tasks:
T1: {title}
T2: {title}
...
Quality Gates: Research Audit ✓ | Plan Audit ✓
Proceed with implementation? (yes/no)
```
Wait for explicit approval. If user requests changes, revise and re-audit before re-presenting.
---
## Step 7: Implement
Invoke `/implement`. Executes tasks in dependency order, verifies each, runs lint.
---
## Step 8: Code Review
Invoke `/code-review`. Reviews all new and modified files for correctness, security, and performance with P0/P1/P2 findings.
| Severity | Action |
|----------|--------|
| P0 (Critical) | Must fix before completing |
| P1 (Important) | Should fix, discuss with user |
| P2 (Nice-to-have) | Note for future |
If P0 found: fix all P0 issues, re-run `/code-review`.
---
## Output Files
| File | Phase |
|------|-------|
| `research-{feature}.md` | Research |
| `audit-research-{feature}.md` | Research Audit |
| `plan-{feature}.md` | Plan |
| `audit-plan-{feature}.md` | Plan Audit |
| `review-{feature}.md` | Code Review |
## Quick Reference
```bash
/rpi KB-1234 # From Jira
/rpi {confluence-url} # From Confluence
/rpi "Add export feature" # From direct prompt
```
**Resume after context loss:** Output files in OUTPUT_DIR are the source of truth. Read `research-{feature}.md` and `plan-{feature}.md` to resume at the right step.
**Individual skills (standalone):**
- Use `/rpi` for complete feature implementation
- Use individual skills for targeted tasks or explorationRelated Skills
research
Use when needing to understand requirements before implementation. Gathers context from Jira, Confluence, codebase, and docs. Produces research document with confidence assessment.
plan
Creates detailed implementation plan from validated research. Produces task breakdown with dependencies and file inventory.
implement
Executes implementation plan with quality checks and progress tracking. Follows AGENTS.md patterns strictly.
code-review
Reviews code for correctness, security, performance, and pattern compliance. P0/P1/P2 severity. Absorbs security and performance audit checks.
audit
Validates research or plan against hallucination, overscoping, and traceability. Produces a clear PASS/WARN/FAIL verdict.
RPI Stack Skill Distribution
Lean Research-Plan-Implement workflow skills for Claude Code and Codex.
workspace-surface-audit
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
ui-demo
Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.
token-budget-advisor
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.
skill-comply
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
santa-method
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
safety-guard
Use this skill to prevent destructive operations when working on production systems or running agents autonomously.