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Claude Skills by muratcankoylan
github.com/muratcankoylan23 skills39 installs1,225 views
- context-engineering-collectionA comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.Votes: 0GitHub stars: 17,900
- EvaluationBuild evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.Votes: 0GitHub stars: 17,900
- Multi Agent PatternsDesign multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.Votes: 0GitHub stars: 17,900
- Tool DesignDesign tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.Votes: 0GitHub stars: 17,900
- TemplateTemplate for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.Votes: 0GitHub stars: 17,900
- Context DegradationRecognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.Votes: 0GitHub stars: 17,900
- Context FundamentalsUnderstand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.Votes: 1GitHub stars: 17,900
- Context OptimizationApply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.Votes: 0GitHub stars: 17,900
- Memory SystemsDesign and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.Votes: 0GitHub stars: 17,900
- Book Sft PipelineThis skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer training, LoRA workflows, and model evaluation for voice replication.Votes: 0GitHub stars: 17,900
- Digital Brain SkillThis skill should be used for personal operating-system workflows: content creation, voice consistency, relationship lookup, meeting preparation, weekly review, goal tracking, personal brand management, and network management.Votes: 0GitHub stars: 17,900
- Interleaved ThinkingDebug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.Votes: 0GitHub stars: 17,900
- Comprehensive Research AgentEnsure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool callsVotes: 0GitHub stars: 17,900
- Advanced EvaluationThis skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.Votes: 0GitHub stars: 17,900
- Bdi Mental StatesThis skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.Votes: 0GitHub stars: 17,900
- Context CompressionThis skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.Votes: 0GitHub stars: 17,900
- Filesystem ContextThis skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.Votes: 0GitHub stars: 17,900
- Harness EngineeringThis skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.Votes: 0GitHub stars: 17,900
- Hosted AgentsThis skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.Votes: 0GitHub stars: 17,900
- Latent BriefingThis skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent briefing\", \"reduce worker tokens\", \"cross-agent memory without summarization\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.Votes: 0GitHub stars: 17,900
- Long Horizon PromptingThis skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping,...Votes: 0GitHub stars: 17,900
- Project DevelopmentThis skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-desi...Votes: 0GitHub stars: 17,900
- Self Improvement LoopsThis skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loo...Votes: 0GitHub stars: 17,900