prompt-evaluation-runn…
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost…
Use when the user wants end-to-end autonomous execution from a brief idea to working, verified code -- multi-phase work spanning requirements, planning, implementation, QA, and validation. Not for brainstorming, single focused changes, or quick fixes.
Claude Code
$ npx -y skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline --agent claude-code
Codex
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a codex -y
Cursor
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a cursor -y
Gemini CLI
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a gemini-cli -y
GitHub Copilot
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a github-copilot -y
OpenCode
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a opencode -y
Windsurf
$ npx skills add yeaight7/agent-powerups --skill autonomous-delivery-pipeline -a windsurf -y
name: autonomous-delivery-pipeline description: Use when the user wants end-to-end autonomous execution from a brief idea to working, verified code -- multi-phase work spanning requirements, planning, implementation, QA, and validation. Not for brainstorming, single focused changes, or quick fixes. argument-hint: "<product idea or task description>"
Autonomous Delivery Pipeline takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation. It produces working, verified code from a 2-3 line description.
This skill creates an execution plan and verification loop for a coding agent. It does not grant permission to write globally, install dependencies, commit, push, deploy, or modify secrets.
Most non-trivial software tasks require coordinated phases: understanding requirements, designing a solution, implementing in parallel, testing, and validating quality. Autonomous delivery orchestrates all of these phases automatically so the user can describe what they want and receive working code without managing each step.
1. **Phase 0 - Expansion**: Turn the user's idea into a detailed spec
2. **Phase 1 - Planning**: Create an implementation plan from the spec
3. **Phase 2 - Execution**: Implement the plan
4. **Phase 3 - QA**: Cycle until all tests pass
5. **Phase 4 - Validation**: Multi-perspective review in parallel
6. **Phase 5 - Cleanup**: Remove intermediate plan artifacts on successful completion
Curated power-ups for coding agents: skills, slash commands, MCP configs, hooks, AGENTS.md templates, and workflows for serious software engineering. Claude Code, Codex, Antigravity CLI, Cursor and more
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost…
Use when creating or reviewing red-team eval plugins, attack templates, grader rubrics, safety fixtures, or model-risk test…
Use when designing, running, debugging, or hardening deterministic eval suites for agent skills, prompts, tool workflows, or…
Use when designing tool definitions for a new agent or subagent, an agent shows high retry rates, ambiguous tool invocations, or…
Use when routing a prompt to a local provider CLI for a second opinion, review, or plan -- you are about to call a provider…
Use when starting work in an unfamiliar area of a codebase, spawning a subagent that needs targeted file context, a first search…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
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