model-usage
vmain
io.github.openclaw/openclaw/model-usage
Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.
“Summarize” 共 11 个结果
vmain
io.github.openclaw/openclaw/model-usage
Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.
vmain
io.github.cursor/plugins/what-did-i-get-done
Summarize authored commits over a user-specified time period into a concise update
vmain
io.github.anthropics/skills/claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST
vdev
io.github.code-yeongyu/oh-my-openagent/data-scientist
Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.
vmain
io.github.langchain-ai/deepagents/deepagents-thread-inspector
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.
vmain
io.github.microsoft/PowerToys/release-note-generation
Toolkit for generating PowerToys stable or preview release notes from GitHub milestones, commit ranges, or Azure DevOps release-candidate builds. Use when asked to create release notes, summarize milestone PRs, generate changelog, prepare a draft preview release, calculate PR deltas across main and stable, update release documentation, manage PR milestones, or prepare and validate release assets.
vmain
io.github.aipoch/medical-research-skills/pdf-to-ppt-pack
Convert research paper PDFs into literature-report PPTX decks using a fully offline workflow (extract text/figures, map captions, summarize findings, and generate slides). Use when you need to turn a PDF into a presentation deck, especially for scientific articles with figures and tables.
vmain
io.github.aipoch/medical-research-skills/pdf-ppt
Create literature-report PPTX decks from PDF papers. Use when you must extract a paper’s metadata, summarize the study, interpret Results/Figures/Tables, and generate slides with 1:1 figure-to-text alignment and layout rules (triggered by requests like “PDF to PPT”, “literature report slides”, or “turn this paper into a presentation”).
vmain
io.github.openai/codex/codex-issue-digest
Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.
vmain
io.github.cursor/plugins/get-pr-comments
Fetch and summarize review comments from the active pull request
vmaster
io.github.ant-design/ant-design/commit-msg
Generate a single-line commit message for ant-design by reading the project's git staged area and recent commit style. Use when the user asks for a commit message, says "msg", "commit msg", "写提交信息", or wants one-line text that covers all staged changes. Output should match the repository's existing commit style and summarize all staged changes in one line.