epistemic-checkpoint
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
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Run EPUBCheck and Ace accessibility validation. Use before final EPUB packaging or distribution to ensure publication readiness.
Run and interpret visual QA pipeline for EPUB XHTML files. Use when user asks about layout, screenshots, visual issues, or rendering problems in REBRANDED_OUTPUT.
A production-grade algebraic equation solver with comprehensive security hardening to prevent template injection, command injection, and other code execution vulnerabilities.
Structure founder equity, vesting schedules, and employee option plans
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 symmetry into model, or needs architecture recommendations for specific symmetry groups. Provides architecture patterns and implementation guidance.
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Error Boundaries เป็นคุณลักษณะที่สำคัญใน React ที่ช่วยจัดการข้อผิดพลาด (Error Handling) ในแอปพลิเคชัน React โดยการจับ JavaScript errors ที่เกิดขึ้นใน component tree และแสดง fallback UI แทนที่จะทำให้ทั
Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent systems with focus on minimizing impact and learning from failures.
Systematic debugging and error resolution using the TRACE framework (Trace, Read, Analyze, Check, Execute). Use when debugging errors, analyzing stack traces, investigating failures, root cause analysis, or troubleshooting production issues.
Use when user needs complex error pattern analysis, distributed system debugging, error correlation, root cause discovery, or predictive error prevention across microservices.
Advanced error analysis and pattern detection specialist for identifying, analyzing, and preventing software errors
Standardize error formats and retry strategy.
AWS error investigation with multi-layer verification, CloudWatch analysis, and Lambda logging patterns. Use when debugging AWS service failures, investigating production errors, or troubleshooting Lambda functions.
error-learner
Use when stuck in circles and want to hand off to another agent (Codex CLI) with full context
Defining clear ownership models and escalation procedures to ensure incidents are handled by the right people at the right time.
Use to govern executive involvement, cross-functional response, and risk
Handle escalated support issues with structured triage, communication, and resolution processes
Clear escalation procedures and paths for incident response
Adapt escape room games for global markets (English, Korean, Japanese) with cultural considerations, efficient translation workflows, and language-agnostic design strategies. Handles multilingual template creation, cultural adaptation, and localization testing. Use when preparing games for international audiences or implementing multi-language support.
Use when eSLint configuration including config files, extends, plugins, and environment setup.
Use when custom ESLint rules and plugins including rule development, AST traversal, and publishing.
Use when eSLint built-in rules including rule configuration, severity levels, and disabling strategies.
Estimate implementation complexity for features and technical tasks
Calculate story point estimates for user stories using structured formula (Complexity × Effort + Risk). Analyzes acceptance criteria, assesses complexity (1-5), effort (1-5), and risk (0-3), then documents estimation rationale. Use during backlog grooming or sprint planning when stories need sizing.
Estimation techniques including analogous, parametric, three-point, and expert judgment methods. Provides effort, cost, duration, and complexity estimates for projects, features, and tasks.
ethicist-analyst
Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.
Enables Claude to browse Etsy products, manage favorites, and explore handmade items
Analyze evaluation baseline results, identify failure patterns, and generate actionable insights. Use after running eval baselines or when user asks to analyze eval results, check benchmarks, investigate failures, or understand what's failing.
EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results.
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
Two-stage paper screening - abstract scoring then deep dive for specific data extraction
Evaluate RAG systems with hit rate, MRR, faithfulness metrics and compare retrieval strategies. Use when testing retrieval quality, generating evaluation datasets, comparing embeddings or retrievers, A/B testing, or measuring production RAG performance.
Build systematic evaluation frameworks for LLM applications.
Use when need explicit quality criteria and scoring scales to evaluate work consistently, compare alternatives objectively, set acceptance thresholds, reduce subjective bias, or when user mentions rubric, scoring criteria, quality standards, evaluation framework, inter-rater reliability, or grade/assess work.
Comprehensive EVE Online project management and ESI integration toolkit. Use when updating, auditing, or integrating ESI into EVE Online projects like EVE_Rebellion, EVE_Gatekeeper, EVE_Ships, or any EVE-related development. Triggers on project updates, ESI integration, compliance checking, asset management, or multi-project coordination.
Use when documenting event objectives, requirements, and alignment across
Implements Clix event tracking (Clix.trackEvent) with consistent naming, safe
Plan and manage security evidence collection for compliance audits and assessments. Use this skill to identify required evidence, track collection status, and ensure audit readiness.
evidence-logging
Use when spec and code diverge - AI analyzes mismatches, recommends update spec vs fix code with reasoning, handles evolution with user control or auto-updates
Create detailed implementation plans for software features and refactoring tasks. Use this skill when planning new features, architectural changes, or major refactoring efforts.
Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs example projects, reference implementations, starter templates, or wants to see working code for sentiment analysis, text generation, or financial trade classification.
Create professional flowcharts and diagrams as Excalidraw files that can be opened in Excalidraw.
Layout and storytelling guide for marketing analytics executive dashboards.
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Execute approved task specifications sequentially with TDD, comprehensive testing, and validation. This skill should be used for implementing tasks from approved specs with full audit trail.