发现 content media llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Synthesize claims across multiple sources to identify consensus, disagreements, and emerging narratives on AI research topics. Use when you have claims from both lab researchers and critics on the same topic an...
Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions a...
Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.
Generate a weekly AI intelligence digest from synthesized topic analyses and hype assessments. Use after synthesis and hype assessment to produce a readable, opinionated summary for sophisticated technical read...
Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.
Manage Gemini Deep Research API quotas with rate limiting, exponential backoff, and client-side tracking. Use when handling API quota errors, implementing rate limiting, batch job submission, or when asked abou...
Design and manage TraitorSim agent archetypes with OCEAN personality traits, stat biases, and gameplay profiles. Use when creating new archetypes, modifying personality traits, defining character types, or when...
Orchestrate complete TraitorSim workflows from persona generation to game execution and analysis. Use when starting new projects, running full pipelines, or when asked about complete workflows, end-to-end proce...
Debug TraitorSim agent memory systems including profile.md, diary entries, trust matrices (suspects.csv), and SKILL.md files. Use when troubleshooting agent behaviors, inspecting memory contents, validating mem...
Generate AI agent personas with authentic backstories, demographics, and personality traits for TraitorSim. Use when creating new characters, generating personas, building character libraries, or when asked abo...
Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.
Unified four-tier memory system for AI agents. Tier 1 Semantic (Brain+Forgetful search), Tier 2 Episodic (session replay), Tier 3 Causal (decision patterns). Enables memory-first architecture per ADR-007.
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution l...
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system...
Research external topics, create comprehensive analysis, determine project applicability, and incorporate learnings into Brain memory system. Transforms knowledge into searchable, actionable project context.
Guidance for using Brain semantic memory effectively. Applies Zettelkasten atomic note principles with observations and relations. Use when deciding whether to query or create notes, structuring note content, o...
Guidance for deep knowledge graph traversal across notes, observations, and relations. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do y...
Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifica...
Multi-agent debate orchestration for Architecture Decision Records. Automatically triggers on ADR create/edit/delete. Coordinates architect, critic, independent-thinker, security, analyst, and high-level-adviso...
Autonomous meta-skill for creating high-quality custom slash commands using 5-phase workflow with multi-agent validation and quality gates. Use when user requests new slash command, reusable prompt automation,...
Create new Claude Code skills through guided conversation. Use when the user wants to create a skill, write a skill, make a skill, or set up custom instructions for a specific domain or workflow.
Create or update system design documents. Supports initial design and incremental design modes. Use when users need technical architecture, API design, data models, design changes, or impact analysis. Triggers...
Opinionated constraints for building better interfaces with agents. Apply when writing UI code, implementing designs, or reviewing frontend components. Use within DevDocs workflow during development phase for U...
Speech-to-text with local NVIDIA Parakeet (NeMo) via the transcribe CLI.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。