ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
stakeholder-docs
Executive documentation from technical living docs - business summaries, progress dashboards, feature status reports. Use for stakeholder communication.
majiayu000/claude-skill-registry 163
-
web-dev-process
Processus de développement web standardisé en 7 phases. Utilise ce skill quand: (1) démarrage d'un nouveau projet web, (2) structuration des phases de développement, (3) best practices de développement, (4) checklist de livraison, (5) méthodologie agile appliquée au web.
majiayu000/claude-skill-registry 163
-
packmind-create-standard
Guide for creating coding standards via the Packmind CLI. This skill should be used when users want to create a new coding standard (or add rules to an existing standard) that captures team conventions, best practices, or coding guidelines for distribution to CoPilot.
majiayu000/claude-skill-registry 163
-
tree-sitter
AST-based code analysis using tree-sitter. Use for parsing code structure, extracting symbols, finding patterns with tree-sitter queries, analyzing complexity, and understanding code architecture. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and more.
majiayu000/claude-skill-registry 163
-
rfdiffusion
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers.
For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
majiayu000/claude-skill-registry 163
-
smart-revert
Git-aware smart revert for tracks, phases, and tasks. Handles rewritten history, finds related commits, and provides safe rollback with multiple confirmation gates.
majiayu000/claude-skill-registry 163
-
generate-repository
Generate repository class for SQLite data access with CRUD methods, row mapping, and TypeScript types. Use when creating new database tables or data access layers.
majiayu000/claude-skill-registry 163
-
deepchem
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
majiayu000/claude-skill-registry 163
-
evaluating-tools
開発ツール、フレームワーク、ライブラリの評価と比較を支援します。PoC計画、複数候補の比較分析、意思決定フレームワークを提供します。技術選定、ツール導入の判断が必要な場合に使用してください。
majiayu000/claude-skill-registry 163
-
exploratory-testing-advanced
Advanced exploratory testing techniques with Session-Based Test Management (SBTM), RST heuristics, and test tours. Use when planning exploration sessions, investigating bugs, or discovering unknown quality risks.
majiayu000/claude-skill-registry 163
-
jta
Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
majiayu000/claude-skill-registry 163
-
prompt-caching
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.
majiayu000/claude-skill-registry 163
-
gcp-billing-accounts
GCP 결제 계정 목록
majiayu000/claude-skill-registry 163
-
accessibility-test-axe
Эксперт по a11y тестированию. Используй для axe-core, automated testing и accessibility audits.
majiayu000/claude-skill-registry 163
-
code-analyze
Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.
majiayu000/claude-skill-registry 163
-
pm-workflow
Complete PM Coordinator workflow - task assignment, retrospective orchestration, PRD management, worker coordination. Use proactively when starting PM agent work.
majiayu000/claude-skill-registry 163
-
bio-codon-usage
Analyze codon usage, calculate CAI (Codon Adaptation Index), and examine synonymous codon bias using Biopython. Use when analyzing coding sequences for expression optimization or evolutionary analysis.
majiayu000/claude-skill-registry 163
-
chrome-form-filler
Safely fills web forms in Chrome with user approval and verification at every step.
Use when asked to "fill this form", "complete the form for me", "fill out registration",
"submit this application", or when user needs form automation with safety controls.
Works with Chrome browser tabs via MCP tools (tabs_context_mcp, read_page, form_input).
Enforces permission workflows, field verification, and never fills sensitive data.
majiayu000/claude-skill-registry 163
-
exa-debug-bundle
Collect Exa debug evidence for support tickets and troubleshooting.
Use when encountering persistent issues, preparing support tickets,
or collecting diagnostic information for Exa problems.
Trigger with phrases like "exa debug", "exa support bundle",
"collect exa logs", "exa diagnostic".
majiayu000/claude-skill-registry 163
-
security-detection
Detect infrastructure and security-critical file changes to trigger security agent review recommendations ensuring proper security oversight for sensitive modifications.
majiayu000/claude-skill-registry 163
-
moonshot-orchestrator
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
majiayu000/claude-skill-registry 163
-
types
Imported skill types from vercel
majiayu000/claude-skill-registry 163
-
standards-creator
Create phase-appropriate standards files using latest documentation from context7 and web sources. Invoked by prepare-standards command to generate missing standards files based on task requirements.
majiayu000/claude-skill-registry 163
-
fdb-simulation-workloads
Guide for writing FoundationDB simulation workloads in Rust. Use when designing chaos testing, simulation testing, deterministic testing, or workload implementations for FDB layers. Covers operation design, invariant checking, and determinism requirements.
majiayu000/claude-skill-registry 163