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brutal-honesty-review
A highly structured and innovative skill for delivering unfiltered technical feedback with clear modes, calibration levels, and actionable frameworks for code review, quality assessment, and BS detection.
keyword-cluster-builder
This skill provides a structured method for expanding seed keywords into topic clusters using modifier patterns. It offers clear templates for question, comparative, intent, and audience modifiers, then groups results by semantic similarity and intent. The output follows a consistent markdown format with cluster names, intent classification, and estimated volumes.
voice-analyze
A sophisticated voice analysis tool that systematically extracts writing style patterns and generates comprehensive voice profiles with measurable dimensions and practical applications.
bear-notes
This skill provides CLI access to Bear notes on macOS via the grizzly tool. It enables creating, searching, and managing notes directly from the terminal, with JSON output support and callback handling for data retrieval.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
stable-baselines3
Provides guidance for using Stable Baselines3, a PyTorch RL library with PPO, SAC, DQN algorithms. Covers training agents, custom environments, vectorized envs, callbacks, and evaluation. Includes ready-to-use scripts for common RL workflows and troubleshooting tips.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
shap
This skill provides detailed guidance for using SHAP to explain machine learning model predictions. It covers explainer selection, visualization generation, common workflows, and integration with MLOps pipelines. The documentation includes code examples for tree models, neural networks, and black-box models.
debug-cuda-crash
Tutorial for debugging CUDA crashes using API logging
image-enhancer
This skill processes images and screenshots to improve resolution, sharpness, and clarity. It handles batch operations, preserves originals, and provides specific use cases for documentation, social media, and presentations. The tool is straightforward with clear examples for common enhancement tasks.
open-source-contributions
Create maintainer-friendly pull requests with clean code and professional communication. Prevents 16 common mistakes that cause PR rejection. Use when: contributing to open source, submitting PRs, or troubleshooting PR rejection, CI failures, or personal artifacts in commits.
Documenting Code
This skill helps developers keep project documentation synchronized with code changes. It provides specific workflows for updating feature specs, API contracts, and README files following init-project standards. Includes validation commands to check consistency and coverage across documentation files.
agentic-quality-engineering
This skill provides a framework for orchestrating 19 specialized AI agents to automate and scale quality engineering tasks. It defines coordination patterns, memory management, and PACT principles for proactive, autonomous, collaborative, and targeted testing. It's designed to integrate into CI/CD pipelines, starting with a phased rollout of agents.
search-interceptor
This skill intercepts bulk file read operations before execution and suggests using Claude Memory semantic search instead. It provides clear triggers for when to intervene, decision matrices, and practical examples to reduce token waste during code exploration.
git-workflow
This skill manages Git operations for spec-driven development workflows. It creates branches with naming conventions, generates conventional commits, and creates pull requests with spec-based templates. It integrates with specification and implementation phases, handles uncommitted changes gracefully, and provides clear user prompts for workflow decisions.
tweet-rl-tracker
A well-designed Notion-based system for tracking tweet performance using a structured reinforcement learning approach with clear workflows and actionable insights.
auth-implementation-patterns
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
discover-database
A gateway skill that automatically loads relevant database expertise when Claude detects SQL, NoSQL, or schema design work. It provides structured access to 8 core database skills covering PostgreSQL, MongoDB, Redis, connection pooling, ORM patterns, and database selection decisions. The skill uses progressive loading to minimize token usage while offering comprehensive coverage.
session-logs
This skill provides jq-based shell commands to search and analyze Claude conversation history stored in JSONL files. It helps users find past discussions, calculate costs, and extract specific message types from session logs located in ~/.clawdbot directories.
pyopenms
Provides Python bindings for the OpenMS library, enabling mass spectrometry data processing for proteomics and metabolomics. Handles file I/O, feature detection, peptide identification, and quantitative analysis workflows. Includes detailed examples for common tasks like loading mzML files and converting data to pandas DataFrames.
PrivateInvestigator
Ethical people-finding. USE WHEN find person, locate, reconnect, people search, skip trace. SkillSearch('privateinvestigator') for docs.
ruzzy
Ruzzy is a coverage-guided Ruby fuzzer by Trail of Bits. Use for fuzzing pure Ruby code and Ruby C extensions.
code-maturity-assessor
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations. (project, gitignored)
constant-time-testing
Constant-time testing detects timing side channels in cryptographic code. Use when auditing crypto implementations for timing vulnerabilities.