autonomous-loop
Iterate until success or limit, composing existing skills with Jidoka integration
Install
mkdir -p .claude/skills/autonomous-loop && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4377" && unzip -o skill.zip -d .claude/skills/autonomous-loop && rm skill.zipInstalls to .claude/skills/autonomous-loop
About this skill
Autonomous Loop Skill (Ralph Wiggum)
Keep iterating until success without human intervention per attempt. Composes existing skills and respects Jidoka escalation.
When to Use
- User requests hands-off iteration
- Explicitly triggered with keywords
Trigger Phrases
- "ralph mode"
- "keep going"
- "iterate until done"
- "autonomous"
- "don't stop"
Parameters
| Param | Default | Description |
|---|---|---|
| max_iterations | 5 | Max attempts before pause |
| success_criteria | typecheck + lint + ReadLints clean | What defines success |
Phase 1: Initialize
- Acknowledge activation
- Invoke
session-statusskill for current state - Initialize counters:
- iteration = 0
- error_history = [] (shared with debug skill)
Output:
Entering autonomous loop. Max 5 iterations.
Current: [session-status header]
Phase 2: Execute Loop
FOR iteration IN 1..max_iterations:
2.1: Execute current task action
- Implement changes per commit plan
- Run npm run typecheck
- Run npm run lint
2.2: Invoke pr-review skill
- If BLOCK: proceed to 2.4
- If PASS: proceed to 2.3
2.3: Invoke qa-commit skill
- If GREEN: proceed to 2.5
- If RED: proceed to 2.4
2.4: Invoke debug skill
- Debug skill checks Jidoka tier internally
- If Tier 2/3 escalation: EXIT loop, return JIDOKA
- If Tier 1 fix attempted: CONTINUE loop
2.5: Success checkpoint
- Log iteration as SUCCESS
- Proceed to next commit or EXIT if done
Phase 3: Iteration Report
After each iteration, output:
## Iteration [N]/[max]
| Step | Skill | Result |
|------|-------|--------|
| Execute | (implementation) | [files changed] |
| Review | pr-review | PASS/BLOCK |
| Verify | qa-commit | GREEN/RED |
| Debug | debug | [if invoked] |
**Outcome:** [SUCCESS / CONTINUE / JIDOKA / MAX]
Phase 4: Exit and Report
On loop exit, invoke session-status skill and output:
## Autonomous Loop Complete
**Exit reason:** [SUCCESS / JIDOKA / MAX / INTERRUPT]
**Iterations:** [N] of [max]
| Iter | Action | Result |
|------|--------|--------|
| 1 | [description] | [outcome] |
| 2 | [description] | [outcome] |
[session-status footer with next steps]
Exit Conditions
| Condition | Trigger | Result |
|---|---|---|
| SUCCESS | All checks pass, commit complete | Normal exit, proceed to next commit |
| JIDOKA | Tier 2/3 escalation triggered | Exit loop, present options to human |
| MAX | iteration >= max_iterations | Exit loop, report and wait for guidance |
| INTERRUPT | User sends message | Exit loop, respond to user |
Safety Guardrails
- NEVER auto-commit without GREEN from qa-commit
- NEVER auto-push to remote
- NEVER delete files without explicit approval
- PAUSE on any destructive operation
- EXIT on user message (treat as INTERRUPT)
Integration with Jidoka
Ralph Wiggum respects Jidoka escalation tiers:
| Tier | Ralph Behavior |
|---|---|
| Tier 1 (error_count < 3) | Continue autonomously, debug skill handles |
| Tier 2 (same error 3x) | EXIT loop, Jidoka presents options |
| Tier 3 (any error 5x) | EXIT loop, Jidoka requires human triage |
Integration
This skill composes:
session-status- Progress trackingpr-review- Technical validationqa-commit- QA contract verificationdebug- Error fixing with Jidoka
This skill is invoked by:
- User trigger phrases
agent.mdcwhen user requests autonomous mode
Invocation
Trigger with: "ralph mode", "keep going", "iterate until done"
Tools Used
| Tool | Purpose |
|---|---|
| Shell | npm run typecheck, npm run lint |
| ReadLints | IDE diagnostic errors |
| Grep | Pattern search in code |
| SemanticSearch | Find implementations |
| Read | Read file contents |
| StrReplace | Make code changes |
| Browser MCP | Visual verification (via qa-commit) |
More by WellApp-ai
View all skills by WellApp-ai →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversUnlock powerful Excel automation: read/write Excel files, create sheets, and automate workflows with seamless integratio
Docfork delivers up-to-date documentation and code examples for any software library, enhancing your config management t
Reddit Buddy offers powerful Reddit API tools for browsing, searching, and data annotation with secure access, rate limi
Reddit Buddy offers clean access to Reddit API, advanced reddit tools, and seamless data annotation reddit with smart ca
Sync Trello with Google Calendar easily. Fast, automated Trello workflows, card management & seamless Google Calendar in
Octagon Deep Research MCP — an AI research platform and deep research AI with unlimited AI queries, AI research tools, a
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.