ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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write-example
Writing examples for the tldraw SDK examples app. Use when creating new examples, adding SDK demonstrations, or writing example code in apps/examples.
tldraw/tldraw 46,144
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write-issue
Writing and maintaining GitHub issues for the tldraw repository. Use when creating new issues, editing issue titles/bodies, triaging issues, or cleaning up issue metadata (types, labels).
tldraw/tldraw 46,144
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write-unit-tests
Writing unit and integration tests for the tldraw SDK. Use when creating new tests, adding test coverage, or fixing failing tests in packages/editor or packages/tldraw. Covers Vitest patterns, TestEditor usage, and test file organization.
tldraw/tldraw 46,144
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review-docs
Review and improve documentation with parallel evaluation and iterative improvement loop.
tldraw/tldraw 46,144
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write-pr
Writing pull request titles and descriptions for the tldraw repository. Use when creating a new PR, updating an existing PR's title or body, or when the /pr command needs PR content guidance.
tldraw/tldraw 46,144
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write-release-notes
Writing release notes articles for tldraw SDK releases. Use when creating new release documentation, drafting release notes from scratch, or reviewing release note quality. Provides guidance on structure, voice, and content for release files in `apps/docs/content/releases/`.
tldraw/tldraw 46,144
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write-tbp
Writing technical blog posts about tldraw features and implementation details. Use when creating blog content about how tldraw solves interesting problems.
tldraw/tldraw 46,144
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shepherd-pr
Keep an eye on this PR. Review and resolve pull request comments and fix build failures autonomously. Use when asked to review PR feedback, address reviewer comments, fix CI failures, resolve PR threads, or handle PR maintenance tasks like "review PR comments", "fix the build", "address PR feedback", "clean up PR", or "resolve comments". Handles comment triage (resolve false positives, fix trivial issues, flag complex ones), build/lint/type errors, and e2e snapshot updates.
tldraw/tldraw 46,144
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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.
tldraw/tldraw 46,144
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update-release-notes
Update the release notes file at `apps/docs/content/releases/next.mdx` in the tldraw/tldraw repo based on PRs since the previous release, or archive `next.mdx` to a versioned file when a new version is published.
tldraw/tldraw 46,144
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sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
natea/fitfinder 3
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performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
natea/fitfinder 3
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AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
natea/fitfinder 3
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flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
natea/fitfinder 3
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demo-builder
Automatically generate playable game demos from concept documents. Parses game designs, creates Three.js prototypes with scoring, characters, textures, and music. Transforms ideas into interactive experiences.
natea/fitfinder 3
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stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
natea/fitfinder 3
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Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
natea/fitfinder 3
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Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
natea/fitfinder 3
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
natea/fitfinder 3
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Hooks Automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
natea/fitfinder 3
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hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
natea/fitfinder 3
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market-analyst
Synthesize multiple sentiment analyses to identify market trends, gaps, opportunities, and predict likely hits. Cross-analyzes patterns to find underserved markets and highlight unique innovations.
natea/fitfinder 3
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github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
natea/fitfinder 3
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flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
natea/fitfinder 3