prompt-evaluation-runn…
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost controls.
Use when a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.
$ npx -y skills add yeaight7/agent-powerups --skill memory-query-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/memory-query-workflowContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.
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
Repo: yeaight7/agent-powerups
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost controls.
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