recall
Auto-activates at session start to surface relevant learnings. Use when starting work in a domain to recall past insights from ~/.claude/learnings/.
Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.
Auto-activates at session start to surface relevant learnings. Use when starting work in a domain to recall past insights from ~/.claude/learnings/.
Precision editing for prose and copy. Use when user says "edit this", "improve this", "review my writing", "use [name]'s voice", or provides draft text to refine. Triggers on editing, voice extraction, voice li...
Use when validating ideas, sizing markets, building pitch decks, preparing for investors, modeling financials, planning launches, or creating board reports. Auto-activates on fundraising, pitch, investor, TAM/S...
Expert simulation for code guidance and style. Triggers on "code like [expert]", "what would [expert] say", "idiomatic", "best practice", "panel", or domain-specific keywords. Channels documented expert perspec...
Use when preparing for interviews, assessing skills, analyzing job opportunities, navigating stakeholder politics, or developing professional capabilities. Auto-activates on interview prep, career assessment, j...
Activate a Cognitive Digital Twin. Can simulate a custom subject (via core/ directory) OR load pre-installed celebrity/expert personas (from personas/ directory).
Use when you need to generate many creative options before systematically narrowing to the best choices. Invoke when exploring product ideas, solving open-ended problems, generating strategic alternatives, deve...
Use to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout mindset, soldier...
Use when you have validated symmetry groups and need to design neural network architecture that respects those symmetries. Invoke when user mentions equivariant layers, G-CNN, e3nn, steerable networks, building...
Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need dom...
Use when reviewing or editing research manuscripts, journal articles, reviews, or perspectives. Invoke when user mentions manuscript, paper draft, article, research writing, journal submission, reviewer feedbac...
Use when teaching complex concepts (technical, scientific, philosophical), helping learners discover insights through guided questioning rather than direct explanation, correcting misconceptions by revealing co...
Use when the user has a document (PDF, markdown, book notes, research paper, methodology guide) containing theoretical knowledge or frameworks and wants to convert it into an actionable, reusable skill. Invoke...
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarksUse wh...
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for...
Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.
Expert patterns for AI video generation including text-to-video, image-to-video, video editing, and API integration with Runway, Kling, Luma, Wan, and ReplicateUse when "text to video, video generation, image t...
The meta-skill that powers all other AI tools. Prompt engineering for creative applications is the art and science of communicating with AI models to produce exactly what you envision—in images, video, audio, a...
Use when implementing attention mechanisms, building custom transformer models, understanding positional encoding, or optimizing transformer inference - covers self-attention, multi-head attention, RoPE, ALiBi,...
The enhancement layer for AI-generated content. This skill covers AI-powered visual effects, compositing, upscaling, restoration, and post-production magic—turning raw AI output into polished, professional cont...
Global content at the speed of AI. This skill covers the full spectrum of AI-powered localization: translation, cultural adaptation, voice localization, visual adaptation, and the orchestration required to take...
Implement comprehensive safety guardrails for LLM applications including content moderation (OpenAI Moderation API), jailbreak prevention, prompt injection defense, PII detection, topic guardrails, and output v...
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-80...
Master AI-powered game asset pipelines using ComfyUI, Stable Diffusion, FLUX, ControlNet, and IP-Adapter. Creates production-ready sprites, textures, UI, and environments with consistency, proper licensing, and...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.