Dev
npc-live/clawfirm
Software development workflow dispatcher. An agent skill from npc-live/clawfirm.
Generate Ralph-compatible prompts for single implementation tasks.
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-task --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .claude/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .claude/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-task --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .agents/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .agents/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-task --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .cursor/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .cursor/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-task --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .gemini/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .gemini/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-taskInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .github/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .github/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry ralph-prompt-single-task --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 .opencode/skills/ralph-prompt-single-task && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ralph-prompt-single-task" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 into .opencode/skills/ralph-prompt-single-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-prompt-single-task", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ralph-prompt-single-taskGenerate Ralph-compatible prompts for single implementation tasks.
Ralph Prompt Single Task is an agent skill from majiayu000/claude-skill-registry. Generate Ralph-compatible prompts for single implementation tasks. Creates prompts with clear completion criteria, automatic verification, and TDD approach. Use when creating prompts for bug fixes, single features, refactoring tasks, or any focused implementation that can be completed in one session.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Development, covering Debugging, Refactoring and Test-driven development. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ralph Prompt Single Task loads about 2.7k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 419 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 419 words, ~2,706 tokens.
.claude/skills/ralph-prompt-single-task/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Generates well-structured prompts optimized for the Ralph Wiggum technique for single, focused tasks. These prompts include clear completion criteria, automatic verification (tests), self-correction loops, and proper <promise> completion tags.
Best For:
Ralph Philosophy: This generator embraces the principle that failures are deterministic and fixable. Each iteration learns from the previous one. Don't fear failures—they're expected and provide data for improvement through prompt tuning.
Input Required:
Generate prompt with:
Generate a Ralph prompt for: [task description]
Success criteria: [how to verify]
Promise: [completion phrase]Identify these elements:
Good completion criteria are:
Examples:
| Task Type | Good Criteria | Bad Criteria |
|---|---|---|
| Bug fix | "Tests pass, bug no longer reproducible" | "Bug is fixed" |
| Feature | "All CRUD endpoints return 200, tests pass" | "Feature works" |
| Refactor | "All tests pass, code uses new pattern" | "Code is cleaner" |
Use this template:
# Task: [Clear Task Title]
## Objective
[1-2 sentence clear description of what needs to be accomplished]
## Context
[Brief background - what exists, why this is needed]
## Requirements
1. [Specific requirement 1]
2. [Specific requirement 2]
3. [Specific requirement 3]
## Success Criteria
- [ ] [Measurable criterion 1]
- [ ] [Measurable criterion 2]
- [ ] [Measurable criterion 3]
## Verification Steps
1. [How to verify criterion 1]
2. [How to verify criterion 2]
3. [How to verify criterion 3]
## TDD Approach
1. Write/identify failing tests for the requirement
2. Implement the solution
3. Run tests: `[test command]`
4. If tests fail, analyze output and fix
5. Repeat until all tests pass
## Completion
When ALL of the following are true:
- All success criteria met (checklist above)
- All tests passing
- No regressions introduced
Output: <promise>[COMPLETION_PHRASE]</promise>
## If Stuck
After multiple iterations without progress:
- Document what's blocking progress
- List approaches attempted
- Identify specific error or issue
- Do NOT output false promise - continue iterating or wait for max-iterationsInclude specific commands to verify success:
## Verification Commands
```bash
# Run tests
npm test
# or
pytest tests/
# Check for errors
npm run lint
# or
ruff check .
# Verify specific functionality
curl -X GET http://localhost:3000/api/endpoint
## Example Prompts
### Example 1: Bug Fix
**Input:**
- Task: Fix authentication token refresh race condition
- Verification: Auth tests pass, no 401 errors in logs
- Promise: AUTH_FIX_COMPLETE
**Generated Prompt:**
```markdown
# Task: Fix Authentication Token Refresh Race Condition
## Objective
Fix the race condition in token refresh that causes intermittent 401 errors when multiple requests trigger refresh simultaneously.
## Context
The auth module in `src/auth/` handles JWT token refresh. When a token expires, multiple concurrent requests may all attempt to refresh, causing a race condition where some requests fail with 401.
## Requirements
1. Implement token refresh locking/queuing mechanism
2. Ensure concurrent requests wait for single refresh
3. Maintain backward compatibility with existing auth flow
4. Add tests covering concurrent refresh scenario
## Success Criteria
- [ ] All existing auth tests pass
- [ ] New concurrent refresh test passes
- [ ] No 401 errors in integration test logs
- [ ] Token refresh happens only once per expiration
## Verification Steps
1. Run auth tests: `npm test -- --grep "auth"`
2. Run concurrent refresh test: `npm test -- --grep "concurrent"`
3. Check logs for 401 after integration test
4. Verify single refresh in logs during concurrent requests
## TDD Approach
1. Write test for concurrent token refresh scenario
2. Verify test fails with current implementation
3. Implement locking mechanism
4. Run tests: `npm test`
5. If tests fail, analyze and fix
6. Repeat until all pass
## Completion
When ALL of the following are true:
- All auth tests passing (including new concurrent test)
- Integration tests show no 401 errors
- Single refresh verified in logs
Output: <promise>AUTH_FIX_COMPLETE</promise>
## If Stuck
After multiple iterations:
- Document the specific race condition behavior
- List locking approaches tried
- Identify where locks are failing
- Do NOT output false promiseInput:
Generated Prompt:
# Task: Add Pagination to Users Endpoint
## Objective
Implement offset-based pagination for GET /api/users endpoint with page, limit, and total count.
## Context
The users endpoint in `src/routes/users.ts` currently returns all users. As the user base grows, this needs pagination for performance.
## Requirements
1. Accept `page` (default 1) and `limit` (default 20, max 100) query params
2. Return paginated response with metadata: { data: [], page, limit, total, totalPages }
3. Handle edge cases: invalid params, page beyond data, empty results
4. Add comprehensive tests for pagination
## Success Criteria
- [ ] GET /api/users returns paginated response
- [ ] `page` and `limit` query params work correctly
- [ ] Response includes correct metadata (total, totalPages)
- [ ] Edge cases handled gracefully
- [ ] All new pagination tests pass
- [ ] Existing user tests still pass
## Verification Steps
1. Run tests: `npm test -- --grep "users"`
2. Manual verification:
- `curl localhost:3000/api/users?page=1&limit=10`
- `curl localhost:3000/api/users?page=999&limit=10`
- `curl localhost:3000/api/users?limit=200`
## TDD Approach
1. Write tests for pagination behavior
2. Verify tests fail
3. Implement pagination logic
4. Run tests: `npm test`
5. If failures, fix and retry
6. Test edge cases manually
## Completion
When ALL of the following are true:
- All pagination tests pass
- All existing user tests pass
- Manual verification shows correct behavior
- Edge cases handled (returns empty for page beyond data)
Output: <promise>PAGINATION_DONE</promise>
## If Stuck
Document:
- Which tests are failing and why
- What pagination approach was tried
- Specific error messages
- Do NOT output false promiseInput:
Generated Prompt:
# Task: Convert Database Module to Async/Await
## Objective
Refactor all callback-based database operations in `src/db/` to use async/await pattern for improved readability and error handling.
## Context
The database module uses callback patterns from legacy code. Modern async/await improves code clarity and makes error handling more consistent.
## Requirements
1. Convert all callback-based functions to async/await
2. Replace callback error handling with try/catch
3. Update all callers to use await
4. Maintain identical external API behavior
5. No callback patterns remaining in db module
## Success Criteria
- [ ] All database functions use async/await
- [ ] No callback patterns in src/db/*.ts files
- [ ] All existing database tests pass
- [ ] All integration tests pass
- [ ] No TypeScript errors
## Verification Steps
1. Run tests: `npm test -- --grep "database"`
2. Search for callbacks: `grep -r "callback\|cb)" src/db/`
3. TypeScript check: `npm run typecheck`
4. Integration tests: `npm run test:integration`
## TDD Approach
1. Run all tests - ensure baseline passes
2. Convert one function at a time
3. Run tests after each conversion
4. If failures, fix before continuing
5. After all conversions, verify no callbacks remain
## Completion
When ALL of the following are true:
- All database tests passing
- grep for callbacks returns empty
- TypeScript compilation succeeds
- Integration tests pass
Output: <promise>ASYNC_REFACTOR_COMPLETE</promise>
## If Stuck
Document:
- Which function is causing issues
- The specific error or test failure
- What conversion approach was tried
- Do NOT output false promiseRun your generated prompt:
/ralph-wiggum:ralph-loop "[paste generated prompt]" --completion-promise "YOUR_PROMISE" --max-iterations 30Recommended settings:
--max-iterations 15-20--max-iterations 25-35--max-iterations 20-30Before using a generated prompt, verify:
For multi-task prompts, see ralph-prompt-multi-task.
For project-level prompts, see ralph-prompt-project.
For research/analysis prompts, see ralph-prompt-research.
© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 2d14a69
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Ralph Prompt Single Task next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ralph Prompt Single Task this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Devnpc-live/clawfirm | 156 | — | ~642 | Automated safety check: Pass | None | |
| Pstack Skillfabricioctelles/skills | 106 | — | ~5k | Automated safety check: Pass | Apache-2.0 | |
| Development Workflowruby-git/ruby-git | 1.8k | — | ~6.1k | Automated safety check: Pass | MIT | |
| Test Driven Developmentsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Solidramziddin/solid-skills | 606 | — | ~2.7k | Automated safety check: Pass | None |
npc-live/clawfirm
Software development workflow dispatcher. An agent skill from npc-live/clawfirm.
fabricioctelles/skills
Rigorous engineering orchestrator ported from Lauren Tan's pstack (poteto-mode): reads your task, picks one of 23 playbooks (bug fix, feature, refactoring, perf, investigation, prototype, babysit…
ruby-git/ruby-git
Follows a strict Test-Driven Development (TDD) workflow with four phases: triage, prepare, execute, and finalize.
sickn33/agentic-awesome-skills
Use a failing behavioral test to guide a feature or bug fix, then implement and refactor with relevant regression checks.
ramziddin/solid-skills
A skill your agent uses when writing code, implementing features, refactoring, planning architecture, designing systems, reviewing code, or debugging.
handsontable/handsontable
Queries a pre-built, Tree-sitter-based code graph of the whole monorepo instead of grepping call chains, for exploring, debugging, refactoring or reviewing code.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Interact with Zotero reference management libraries using the pyzotero Python client.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
Categories
Generate Ralph-compatible prompts for single implementation tasks. Ralph Prompt Single Task is an agent skill from majiayu000/claude-skill-registry. Generate Ralph-compatible prompts for single implementation tasks.
Ralph Prompt Single Task fits situations like: creating prompts for bug fixes; single features; refactoring tasks; any focused implementation that can be completed in one session.
Run `npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a claude-code`. Or copy the skill folder (skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 in majiayu000/claude-skill-registry) into .claude/skills/ralph-prompt-single-task in your project. Claude Code loads it when a task matches its description.
Run `npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a codex`. Or copy the skill folder (skills/ai-llm/ralph-prompt-single-task-adaptationio-skrillz-2 in majiayu000/claude-skill-registry) into .agents/skills/ralph-prompt-single-task in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill ralph-prompt-single-task -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralph-prompt-single-task, .gemini/skills/ralph-prompt-single-task, .github/skills/ralph-prompt-single-task and .opencode/skills/ralph-prompt-single-task in your project.
SKILL.md names no scripts, command-line tools or credentials: Ralph Prompt Single Task is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ralph Prompt Single Task is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ralph Prompt Single Task: Dev (npc-live/clawfirm, 156 stars), Pstack Skill (fabricioctelles/skills, 106 stars), Development Workflow (ruby-git/ruby-git, 1.8k stars) and Test Driven Development (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.