Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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fpf-methodology
First Principles Framework (FPF) for structured, auditable reasoning.
majiayu000/claude-skill-registry 163
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python-micrometer-gcp-cloud-monitoring
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments.
Use when setting up metrics export in Kubernetes environments, configuring Workload Identity,
managing metric prefixes and resource labels, or correlating metrics with GCP services.
Critical for GKE-based microservices with centralized observability in Google Cloud.
majiayu000/claude-skill-registry 163
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tmux-status-debug
Debug and test tmux pane status detection for AI agents (opencode, claude, amp). Use when patterns aren't matching, status icons are wrong, or adding new detection patterns.
majiayu000/claude-skill-registry 163
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microsoft-code-reference
Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
majiayu000/claude-skill-registry 163
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fresh-eyes
Re-reads code you just wrote with fresh perspective to catch bugs, errors, and issues. Use after completing a feature, fixing a bug, or any code changes. Triggers on "review my code", "fresh eyes", "check for bugs", "did I miss anything", or "sanity check".
majiayu000/claude-skill-registry 163
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storyboard-generator
Create detailed storyboards from ad scripts with 2-4 second elements, B-roll specs, and AI generation prompts. Use when preparing scripts for editors, planning video shoots, or generating production-ready creative specs.
majiayu000/claude-skill-registry 163
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RSpec Test Framework
Execute and generate RSpec tests for Ruby projects with let bindings, before hooks, and mocking support
majiayu000/claude-skill-registry 163
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moai-foundation-trust
TRUST 4 principles - Test First, Readable, Unified, Secured
majiayu000/claude-skill-registry 163
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two-agent-harness
This skill sets up a complete two-agent development system based on the "Effective Harnesses for Long-Running Agents" research. It creates initializer-agent (for project planning) and coding-agent (for incremental implementation), along with enforcement hooks and progress tracking infrastructure. Use when users ask to "set up two-agent system", "install agent harness", "configure Opus delegation", or want to implement the two-agent architecture pattern.
majiayu000/claude-skill-registry 163
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V3 Swarm Coordination
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
majiayu000/claude-skill-registry 163
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orcaflex-extreme-analysis
Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.
majiayu000/claude-skill-registry 163
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holistic-linting
This skill should be used when the model needs to ensure code quality through comprehensive linting and formatting. It provides automatic linting workflows for orchestrators (format → lint → resolve via concurrent agents) and sub-agents (lint touched files before task completion). Prevents claiming "production ready" code without verification. Includes linting rules knowledge base for ruff, mypy, and bandit, plus the linting-root-cause-resolver agent for systematic issue resolution.
majiayu000/claude-skill-registry 163
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agentuity-cli-cloud-session-logs
Get logs for a specific session. Requires authentication. Use for Agentuity cloud platform operations
majiayu000/claude-skill-registry 163
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coderabbit-interactions
Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
majiayu000/claude-skill-registry 163
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exploring-data
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive HTML or JSON reports with statistics, visualizations, correlations, and quality alerts.
majiayu000/claude-skill-registry 163
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nextjs-data-fetching
majiayu000/claude-skill-registry 163
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rule-creator
Create and manage user rules that customize AI behavior. Use this skill when users want to create new rules, update existing rules, organize rules, or need guidance on writing effective rules for their projects or personal preferences.
majiayu000/claude-skill-registry 163
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cascade-workflow
Graceful degradation through cascading fallback strategies - ensures system always completes while maintaining acceptable functionality
majiayu000/claude-skill-registry 163
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ci-pipeline
CI pipeline creation and maintenance. TODO: Implement for devops. Invoked by: "ci", "pipeline", "ci/cd", "github actions", "create pipeline".
majiayu000/claude-skill-registry 163
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tenant-relief-from-eviction-analysis-reggiechan74-vp-real-estate-9d8756fa
majiayu000/claude-skill-registry 163
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numpy-structured-cuba6112-skillfactory
majiayu000/claude-skill-registry 163
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lp-generator
majiayu000/claude-skill-registry 163
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ansible-awx
majiayu000/claude-skill-registry 163
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read-inspect-eval
Read and analyze Inspect AI evaluation log files using the Python API. Extract samples, messages, events, and metrics from .eval files.
majiayu000/claude-skill-registry 163