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 deciding the lowest-cost context path for a mixed corpus, especially when choosing among direct reading, helper conversion, graph build, graph update, or graph query.
$ npx -y skills add yeaight7/agent-powerups --skill memory-optimization-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/memory-optimization-workflowContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when deciding the lowest-cost context path for a mixed corpus, especially when choosing among direct reading, helper conversion, graph build, graph update, or graph query.
name: memory-optimization-workflow description: Use when deciding the lowest-cost context path for a mixed corpus, especially when choosing among direct reading, helper conversion, graph build, graph update, or graph query.
Minimize token spend, reread cost, and unnecessary rebuilds.
`graphify` is the main optimization path for repeated work. Helper tools exist to make hard sources cheaper before graph or direct reading.
Do not use for:
apx check graphify apx check markitdown-file-intake apx check defuddle
Stop and report missing tools. Do not auto-install without approval.
| Situation | Cheapest path | |---|---| | small readable text corpus, one question | read directly | | PDF, Office doc, or other binary-like source | `markitdown-file-intake` | | noisy web page or article | `defuddle` | | repeated questions across same corpus | build with `graphify` | | existing graph plus changed sources | `graphify --update` | | existing graph plus new question | query graph first |
1. Direct read if scope is already small and readable. 2. Convert only if format is the main source of waste. 3. Build graph memory when questions will repeat or corpus is broad. 4. Update existing graph when sources changed. 5. Query existing graph before any broad reread.
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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