Murat Can Koylan
- 48 skills
- 0 followers
- 17k repo stars
- 2 weeks ago last updated
- ▌ Competitive Ads Extractor · muratcankoylanExtracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
- ▌ Meta Harness · muratcankoylanRun one iteration of memory system evolution. Called by meta_harness.py or interactively via /meta-harness.
- ▌ Meta Harness Terminal Bench 2 · muratcankoylanRun one iteration of AgentHarness evolution for Terminal-Bench 2.
- ▌ Testing CLI · muratcankoylanHow to test the peoplereadme CLI end-to-end, including the fidelity harness (eval/calibrate) with a synthetic persona fixture and live LLM calls.
- ▌ Testing Peoplereadme CLI · muratcankoylanSet up and end-to-end test the peoplereadme CLI (init, validate, schema changes). Use when verifying changes to src/peoplereadme/, schemas/persona.schema.json, or persona package scaffolding.
- ▌ Baoyu Post To Wechat · muratcankoylan bundlePosts content to WeChat Official Account (微信公众号) via Chrome CDP automation. Supports article posting (文章) with full markdown formatting and image-text posting (图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "图文/文章".
- ▌ Release Skills · muratcankoylanUniversal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送".
- ▌ Baoyu Article Illustrator · muratcankoylan bundleAnalyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style two-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".
- ▌ Baoyu Xhs Images · muratcankoylan bundleGenerates Xiaohongshu (Little Red Book) infographic series with 9 visual styles and 6 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
- ▌ Baoyu Cover Image · muratcankoylan bundleGenerates article cover images with 4 dimensions (type, style, text, mood) and 20 hand-drawn styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", "make cover", or mentions "封面图".
- ▌ Generate Backpressure · muratcankoylan bundleGenerates a BACKPRESSURE.md file for any project. Analyzes codebase and PRD to produce deterministic self-verification checks that AI coding agents run on their own output.
- ▌ Context Compression 2 · muratcankoylan bundleThis 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.
- ▌ Harness Engineering 2 · muratcankoylanThis 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.
- ▌ Project Development 2 · muratcankoylan bundleThis 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-design and individual skill-loading or context-budget tactics to context-optimization.
- ▌ Multi Agent Patterns 2 · muratcankoylan bundleThis skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.
- ▌ Context Optimization 3 · muratcankoylan bundleThis skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
- ▌ Bdi Mental States 2 · muratcankoylan bundleThis 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.
- ▌ Advanced Evaluation 2 · muratcankoylan bundleThis 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.
- ▌ Filesystem Context 2 · muratcankoylan bundleThis 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.
- ▌ Hosted Agents 2 · muratcankoylan bundleThis 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.
- ▌ Memory Systems 2 · muratcankoylan bundleThis skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.
- ▌ Evaluation 2 · muratcankoylan bundleThis skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.
- ▌ Context Degradation 2 · muratcankoylan bundleThis skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.
- ▌ Context Fundamentals 2 · muratcankoylan bundleThis skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.
- ▌ Tool Design 2 · muratcankoylan bundleThis skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an individual tool. Use this when the unit of work is a single tool or a set of tools. Route project-shape, pipeline architecture, and task-model-fit decisions to project-development; route deciding whether to introduce sub-agents to multi-agent-patterns.
- ▌ Long Horizon Prompting · muratcankoylan bundleThis 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, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.
- ▌ Self Improvement Loops · muratcankoylan bundleDesigns and governs recursive self-improvement loops where an agent mines its own failures and proposes edits to its own harness, prompts, or workflow, covering acceptance gates, diversity preservation, and the optimization ladder.
- ▌ Context Optimization · muratcankoylan bundleExtends effective context capacity through strategic compression, masking, caching, and partitioning techniques.
- ▌ Digital Brain · muratcankoylan bundleManages a personal operating system for content creation, relationship management, goal tracking, and weekly reviews using progressive disclosure and append-only data files.
- ▌ Reasoning Trace Optimizer · muratcankoylan bundleDebug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.
- ▌ Comprehensive Research Agent · muratcankoylan bundleImproves multi-step research reliability with structured protocols for source validation, error recovery, and transparent reasoning.
- ▌ Context Engineering Collection · muratcankoylan bundleProvides structured guidance for building production-grade AI agent systems through context engineering, covering fundamentals, architectural patterns, operational excellence, and evaluation.
- ▌ Skill Template · muratcankoylan bundleProvides a structured template for creating new Agent Skills, including sections for description, activation criteria, core concepts, practical guidance, and integration notes.
- ▌ Evaluation · muratcankoylan bundleBuild evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.
- ▌ Tool Design · muratcankoylan bundleDesign tool descriptions, schemas, and response formats that agents can reliably route on, including MCP server design, tool-set consolidation, and naming conventions.
- ▌ Hosted Agents · muratcankoylan bundleDesign and build hosted agent infrastructure with sandboxed execution, warm pools, session persistence, and multiplayer collaboration.
- ▌ Memory Systems · muratcankoylan bundleDesigns persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
- ▌ Latent Briefing · muratcankoylan bundleShares memory between agents at the representation level by compacting the orchestrator's KV cache for efficient worker handoff, reducing token costs without summarization or retrieval.
- ▌ Bdi Mental States · muratcankoylan bundleModel agent mental states using BDI (Beliefs, Desires, Intentions) ontology patterns, enabling cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.
- ▌ Filesystem Context · muratcankoylan bundleUses the filesystem as a durable overflow layer for agent context, enabling scratch pads, plan persistence, sub-agent communication, dynamic skill loading, and log management.
- ▌ Book Sft Pipeline · muratcankoylan bundleConvert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.
- ▌ Advanced Evaluation · muratcankoylan bundleProvides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.
- ▌ Context Compression · muratcankoylan bundleOptimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.
- ▌ Context Degradation · muratcankoylan bundleDiagnose and mitigate context degradation patterns including lost-in-middle failures, context poisoning, distraction, confusion, and clash in AI agent systems.
- ▌ Harness Engineering · muratcankoylanDesigns autonomous agent harnesses with locked evaluators, editable surfaces, durable logging, novelty gates, pruning, rollback, and human approval boundaries.
- ▌ Project Development · muratcankoylan bundleGuides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.
- ▌ Context Fundamentals · muratcankoylan bundleExplains foundational concepts of context engineering: what context is, attention mechanics, the U-shaped attention curve, and why context quality matters more than quantity.
- ▌ Multi Agent Patterns · muratcankoylan bundleDesign multi-agent systems with context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, and decision frameworks for when multiple agents are justified.