搜索结果
全部能力
找到 1247 个相关结果 / 研究学习
研究学习 / 检索整理
ln-910-community-engagement
ln-910-community-engagement
Analyzes community health and delegates engagement tasks. Use when managing GitHub issues, discussions, and announcements.
研究学习 / 检索整理
skill-quality-reviewer
skill-quality-reviewer
This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality…
研究学习 / 检索整理
researching-ai-news
researching-ai-news
Research and compile the latest AI news from across the industry. Use this skill when asked to find AI news, get AI updates, research what's happening in AI,…
研究学习 / 检索整理
research-refine
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when…
研究学习 / 检索整理
idea-tournament
idea-tournament
Guides competitive idea generation and ranking using tree-structured search (up to N_I=21 candidates across technique/domain/formulation axes) and Elo…
研究学习 / 检索整理
ddg-search
ddg-search
Perform web searches using DuckDuckGo. Use when web search is needed and no API key is available or Brave Search is not preferred.
研究学习 / 检索整理
design-tokens
design-tokens
Generate type scales, color palettes, spacing systems, WCAG contrast checks, and dark mode derivations with math. Use when setting up a design system, creating…
研究学习 / 检索整理
deep-research
deep-research
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run),…
研究学习 / 检索整理
docs-codebase
docs-codebase
Technical writing for READMEs, ADRs, API docs, and changelogs. Use when revising or consolidating a repo documentation folder.
研究学习 / 检索整理
affiliate-check
affiliate-check
Live affiliate program data from list.affitor.com. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.
研究学习 / 检索整理
ln-913-community-debater
ln-913-community-debater
Launches RFC and debate discussions on GitHub. Use when proposing changes that need community input or voting.
研究学习 / 检索整理
semanticscholar-skill
semanticscholar-skill
Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries…
研究学习 / 检索整理
openclaw-expert
openclaw-expert
OpenClaw learning expert that retrieves and synthesizes information from official documentation (https://docs.openclaw.ai) and GitHub repository…
研究学习 / 检索整理
experiment-plan
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a…
研究学习 / 检索整理
ln-911-github-triager
ln-911-github-triager
Produces prioritized triage report from open GitHub issues, PRs, and discussions. Use when reviewing community backlog.
研究学习 / 检索整理
ln-160-docs-skill-extractor
ln-160-docs-skill-extractor
Extracts procedural content from project docs into slash commands. Use when docs contain deploy, test, or troubleshoot procedures.
研究学习 / 检索整理
auto-paper-improvement-loop
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\",…
研究学习 / 检索整理
arxiv-viewer
arxiv-viewer
View, search, and download academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv. Use when user asks…
研究学习 / 检索整理
arxiv
arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper…
研究学习 / 检索整理
autoresearch
autoresearch
Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".