Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
meeting-notes-formatter
Convert raw meeting notes to structured markdown or PDF with automatic section detection, action items extraction, and attendee parsing.
dkyazzentwatwa/chatgpt-skills 41
-
crypto-ta-analyzer
Technical analysis with 29+ indicators (BB, Ichimoku, RSI, MACD). Generates 7-tier trading signals with divergence detection, volume confirmation, and squeeze alerts for crypto and stocks.
dkyazzentwatwa/chatgpt-skills 41
-
skill-template
Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
reasoning-trace-optimizer
Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
comprehensive-research-agent
Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
digital-brain
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
book-sft-pipeline
This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or mentions style transfer, LoRA training, book segmentation, or author voice replication.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
filesystem-context
This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
tool-design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
memory-systems
Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
bdi-mental-states
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
context-compression
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
context-fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
hosted-agents
This skill should be used when the user asks to "build background agent", "create hosted coding agent", "set up sandboxed execution", "implement multiplayer agent", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
context-degradation
This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
context-optimization
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
evaluation
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
muratcankoylan/Agent-Skills-for-Context-Engineering 14,469
-
auth-cognito
leonj1/external-claude-skills
-
auth-auth0
leonj1/external-claude-skills
-
strict-architecture
Enforces universal strict governance rules (500 lines, 5 funcs, 4 args) and interface-first I/O for Python, Golang, and .NET.
leonj1/external-claude-skills
-
context-initializer
Automatically invokes init-explorer agent when project context is empty or unknown.
leonj1/external-claude-skills