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 a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.
Claude Code
$ npx -y skills add yeaight7/agent-powerups --skill memory-query-workflow --agent claude-code
Codex
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a codex -y
Cursor
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a cursor -y
Gemini CLI
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a gemini-cli -y
GitHub Copilot
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a github-copilot -y
OpenCode
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a opencode -y
Windsurf
$ npx skills add yeaight7/agent-powerups --skill memory-query-workflow -a windsurf -y
name: memory-query-workflow description: Use when a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.
Use existing graph memory first.
Query the graph before rereading source files unless the graph is missing, stale, or too weak for the question.
apx check graphify
| Question shape | Action | |---|---| | broad question about connected concepts | `graphify query` | | trace between two concepts, files, or systems | `graphify path` | | explain one concept or node in context | `graphify explain` | | no graph exists | switch to `memory-build-workflow` | | graph exists but corpus changed | recommend `graphify --update` before trusting results |
1. Confirm `graphify-out/graph.json` exists. 2. Choose `query`, `path`, or `explain` based on question shape. 3. Answer from graph evidence first. 4. If result quality is weak, say why: missing graph, stale graph, low coverage, or weak node match. 5. Escalate to build/update or targeted reread only when needed.
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.