prompt-evaluation-runn…
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost…
Use at the start of a new task -- before writing or editing code -- when the request is vague, the scope boundaries are unclear, or the acceptance criteria for "done" have not been stated.
Claude Code
$ npx -y skills add yeaight7/agent-powerups --skill task-intake --agent claude-code
Codex
$ npx skills add yeaight7/agent-powerups --skill task-intake -a codex -y
Cursor
$ npx skills add yeaight7/agent-powerups --skill task-intake -a cursor -y
Gemini CLI
$ npx skills add yeaight7/agent-powerups --skill task-intake -a gemini-cli -y
GitHub Copilot
$ npx skills add yeaight7/agent-powerups --skill task-intake -a github-copilot -y
OpenCode
$ npx skills add yeaight7/agent-powerups --skill task-intake -a opencode -y
Windsurf
$ npx skills add yeaight7/agent-powerups --skill task-intake -a windsurf -y
name: task-intake description: Use at the start of a new task -- before writing or editing code -- when the request is vague, the scope boundaries are unclear, or the acceptance criteria for "done" have not been stated.
Never start implementing blindly. When you receive a new task, force clarification of boundaries and expected outcomes before touching files. A few minutes of intake prevents building the wrong thing.
1. **Restate the goal.** Summarize the user's request in your own words and ask them to confirm. A probing question here: "You want X to do Y instead of Z — is that right?" 2. **Pin down scope.** Identify explicitly what you are *not* going to do. If the user asked to fix a button, do not refactor the routing layer. Ask: "Should this change touch only the button handler, or is the surrounding component in scope too?" 3. **Define how it will be tested.** Decide the validation criteria up front — a unit test, a manual UI check, or a command. Ask: "How will we confirm this works — a passing test, or a manual check I should run?"
npm test # if the change is unit-testable curl -s localhost:3000/health # if it is an endpoint
4. **Surface missing context.** If the request is too vague to act on, ask for the specific files, logs, or environment details you need. Confirm the targets exist before claiming you understand them.
git grep -n "handleSubmit" # confirm the symbol exists git ls-files "src/**/*.tsx" # confirm the area you'll edit
5. **State understanding, then pause if ambiguous.** Do not say "I will now fix the bug" and immediately edit files. State your understanding of the problem first; if the instruction is ambiguous, explicitly pause and ask a clarifying question instead of guessing.
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…
Ask which skill or flow fits your situation. A router over the skills in this repo.