skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
self-improving
Use when starting infrastructure, testing, deployment, or framework-specific tasks - automatically searches PRPM registry for relevant expertise packages and suggests installation to enhance capabilities for the current task
screenapp-cli
ScreenApp multimodal video/audio analysis CLI with graph-based context retrieval
schema
Generate knowledge schemas and ontologies from any input format. Extract semantic structures, relationships, and hierarchies. Output as Obsidian markdown with YAML frontmatter, wikilinks, tags, and mermaid diagrams, or export to semantic formats (JSON-LD, RDF, Neo4j Cypher, GraphQL). Supports fractal mode (strict hierarchical constraints) and free mode (flexible generation). Auto-activates for queries containing "schema", "ontology", "knowledge graph", "extract structure", or "generate outline".
rpp
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Retrospective Validation
Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation model provides statistical rigor. Validated in error recovery (1,336 errors, 23.7% prevention, 0.79 confidence).
research
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'do research', 'quick research', 'extensive research', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
research-router
Routes research and investigation tasks. Triggers on research, investigate, deep-dive, explore, understand, learn, study, compare, thorough, comprehensive.
refactor
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reasoning-router
Routes formal reasoning, thinking, and analysis tasks. Triggers on reason, prove, verify, formal, atomic, logic, think, analyze-deeply, decompose, validate.
reason
"Understand through recursive decomposition and modular reconstruction
rct-appraisal
Systematically appraise randomized controlled trials using integrated 120-point checklist (CONSORT 2025, Cochrane RoB 2.0, GRADE, TIDieR, Benefits/Harms Assessment, COI Framework) with dual-validation methodology, automated evidence extraction, and comprehensive risk-benefit evaluation. Use when conducting peer review, evaluating RCT quality for systematic reviews, guideline development, assessing intervention benefits and harms, identifying biases, or evaluating conflicts of interest for editorial writing and critical appraisal.
Rapid Convergence
Achieve 3-4 iteration methodology convergence (vs standard 5-7) when clear baseline metrics exist, domain scope is focused, and direct validation is possible. Use when you have V_meta baseline ≥0.40, quantifiable success criteria, retrospective validation data, and generic agents are sufficient. Enables 40-60% time reduction (10-15 hours vs 20-30 hours) without sacrificing quality. Prediction model helps estimate iteration count during experiment planning. Validated in error recovery (3 iterations, 10 hours, V_instance=0.83, V_meta=0.85).
ralph-prd
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ralph-invoke
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ralph-graceful-exit
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quantitative-physiology
This skill should be used when calculating physiological parameters, modeling membrane transport, analyzing cardiovascular hemodynamics, computing renal clearance, simulating action potentials, or explaining quantitative relationships in any human physiological system. Use for physiology homework, medical calculations, computational biology modeling, and pharmacokinetic analysis.
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
pex-cli
Primary Exam (PEX) Knowledge Graph CLI for CICM/ANZCA exam preparation. Semantic search over Learning Outcomes, SAQs, concepts, and topics. Use for exam study, prerequisite chains, learning paths, and higher-order concept connections.
parallel-debug-orchestrator
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osgrep
Semantic NLP-based code search using neural embeddings and hybrid ranking
orchestrator
Meta-skill orchestrating 7 atomic skills into unified workflows for intelligent development
ontolog
Holarchic reasoning framework implementing λ-calculus over simplicial complexes. Entities (ο) transform through operations (λ) toward terminals (τ) via the universal form λο.τ. Persistent homology captures multi-scale structure; sheaf theory ensures local-to-global consistency. Use when knowledge requires: (1) homoiconic self-reference where structure mirrors content, (2) scale-invariant holonic decomposition, (3) topological invariants preserved across transformations, or (4) formal Lex-style axiom systems over property graphs.
obsidian
This skill should be used when working with Obsidian files including .md notes with wikilinks/callouts/properties, .base database views with filters/formulas, or .canvas visual diagrams. Routes to specialized sub-skills based on file type and task context. Features self-iterative learning that improves with use.
obsidian-process
This skill should be used when batch processing Obsidian markdown vaults. Handles wikilink extraction, tag normalization, frontmatter CRUD operations, and vault analysis. Use for vault-wide transformations, link auditing, tag standardization, metadata management, and migration workflows. Integrates with obsidian-markdown for syntax validation and obsidian-data-importer for structured imports.
obsidian-markdown
Enforces Obsidian-flavored Markdown syntax when creating any .md file, providing templates, validation, and pattern enforcement for YAML frontmatter, wikilinks, callouts, dataview queries, tables, mermaid diagrams, templater syntax, canvas/JSONCanvas, bases, and footnotes. Activates automatically unless explicitly stated otherwise.
obsidian-devtools
Inspect and automate Obsidian using Chrome DevTools Protocol
obsidian-developer
Expert guide for inspecting and automating Obsidian using the obsidian-devtools MCP server.
obsidian-data-importer
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.
obsidian-batch
Batch processing for Obsidian vaults: bulk tag normalization, wikilink extraction/fixing, frontmatter edits, vault analysis, and migration workflows. Use when asked to analyze or modify many notes in an Obsidian vault at scale, or to script/automate vault-wide changes.
obsidian-bases
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Observability Instrumentation
Comprehensive observability methodology implementing three pillars (logs, metrics, traces) with structured logging using Go slog, Prometheus-style metrics, and distributed tracing patterns. Use when adding observability from scratch, logs unstructured or inadequate, no metrics collection, debugging production issues difficult, or need performance monitoring. Provides structured logging patterns (contextual logging, log levels DEBUG/INFO/WARN/ERROR, request ID propagation), metrics instrumentation (counter/gauge/histogram patterns, Prometheus exposition), tracing setup (span creation, context propagation, sampling strategies), and Go slog best practices (JSON formatting, attribute management, handler configuration). Validated in meta-cc with 23-46x speedup vs ad-hoc logging, 90-95% transferability across languages (slog specific to Go but patterns universal).
non-linear
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
process
Batch processing for Obsidian vaults: bulk tag normalization, wikilink extraction/fixing, frontmatter edits, vault analysis, and migration workflows. Use when asked to analyze or modify many notes in an Obsidian vault at scale, or to script/automate vault-wide changes.
network-meta-analysis-appraisal
Systematically appraise network meta-analysis papers using integrated 200-point checklist (PRISMA-NMA, NICE DSU TSD 7, ISPOR-AMCP-NPC, CINeMA) with triple-validation methodology, automated PDF extraction, semantic evidence matching, and concordance analysis. Use when evaluating NMA quality for peer review, guideline development, HTA, or reimbursement decisions.
multi-agent-patterns
Design 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.
multi-agent-coordination
Automatically invoked when peer agents are detected in the same project. Establishes coordination protocols, file reservations, and message-based collaboration. Triggers on SessionStart when other agents exist in the project.
model-enhancement-servers
Guide for creating MCP servers that enhance LLM reasoning through structured processes, persistence, and workflow guidance. Use when building MCP servers for structured thinking, journaling, memory systems, or other cognitive enhancement patterns.
Methodology Bootstrapping
Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns.
meta-router
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mega
Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation.
meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
mcp_agent_mail
FastMCP agent-to-agent communication system with messaging, file reservations, and multi-repo coordination
mcp-skillset-workflows
Nuanced multi-skill orchestration patterns combining debugging, TDD, parallel agents, and root-cause tracing for complex software development
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
maker-framework
Orchestrate reliable multi-agent reasoning using MAKER (Maximal Agentic Knowledge Engine for Reasoning). Implements three-pillar architecture for transforming probabilistic LLM outputs into deterministic, verifiable results. Use when tasks require high reliability, parallel consensus voting, or systematic error detection. Triggers include reliability-critical tasks, multi-step reasoning chains, consensus-based verification, parallel agent execution, or explicit MAKER invocation.
lindy-expert
Lindy is an AI agent creation and management platform focused on business process automation. It enables organizations to build sophisticated AI-powered assistants that can handle communication across...
limitless-cli
CLI for Limitless.ai Pendant with lifelog management, FalkorDBLite semantic graph, vector embeddings, and DAG pipelines. Use for personal memory queries, semantic search across lifelogs/chats/persons/topics, entity extraction, and knowledge graph operations. Triggers include "lifelog", "pendant", "limitless", "personal memory", "semantic search", "graph query", "extraction".
leann
Local RAG indexing with 97% storage reduction via anchor-based lazy recomputation. Graph-based selective embedding storage for memory-efficient semantic code search.
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