github-multi-repo
ruvnetMulti-repository coordination, synchronization, and architecture management with AI swarm orchestration
hive-mind-advanced
ruvnetAdvanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
github-workflow-automation
ruvnetAdvanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
github-code-review
ruvnetComprehensive GitHub code review with AI-powered swarm coordination
github-project-management
ruvnetComprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Swarm Orchestration
ruvnetOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
V3 Swarm Coordination
ruvnet15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
flow-nexus-swarm
ruvnetCloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
swarm-advanced
ruvnetAdvanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
GitHub Release Management
ruvnetComprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
performance-analysis
ruvnetComprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
multi-agent-patterns
muratcankoylanThis skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
swarm
Yeachan-HeoN coordinated agents on shared task list (compatibility facade over team)
cancel
Yeachan-HeoCancel any active OMC mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
code-review
kyegomezPerform comprehensive code reviews focusing on best practices, security vulnerabilities, performance optimization, and maintainability
financial-analysis
kyegomezPerform comprehensive financial analysis including DCF modeling, ratio analysis, and financial statement evaluation for companies and investment opportunities
mlscp
openclawParse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language.
onemolt
openclawVerified molt swarms - cryptographically prove your identity with Ed25519 signatures and WorldID proof-of-personhood. Register with services and verify unique human operators.
swarm
openclawParallel task execution using Gemini Flash workers. 200x cheaper than Opus. Use for any parallelizable work to preserve quota.
agent-swarm-workflow
openclawJeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
moltcity
openclawTerritory control game for AI agents. Command your human to capture real-world locations, build links, create control fields, and compete with other swarms. Trust scoring powered by AMAI.net.
pr-triage
Context-efficient PR comment triage. Evaluate, decide, act. Fix important issues, resolve the rest silently.
testing-patterns
Patterns for testing code effectively. Use when breaking dependencies for testability, adding tests to existing code, understanding unfamiliar code through characterization tests, or deciding how to structure tests. Covers seams, dependency injection, test doubles, and safe refactoring techniques from Michael Feathers.
cli-builder
Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.
learning-systems
Implicit feedback scoring, confidence decay, and anti-pattern detection. Use when understanding how the swarm plugin learns from outcomes, implementing learning loops, or debugging why patterns are being promoted or deprecated. Unique to opencode-swarm-plugin.
tdd
Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint
publish-package-cicd
CI/CD publishing workflow for npm packages using Changesets + npm Trusted Publishers (OIDC). Use when setting up automated npm publishing for monorepos, configuring GitHub Actions for releases, troubleshooting workspace:* protocol resolution issues, fixing "Cannot find module" errors in published packages, or debugging npm OIDC authentication. Covers Bun + Turborepo + Changesets + npm Trusted Publishers with workspace protocol resolution.
hive-workflow
Issue tracking and task management using the hive system. Use when creating, updating, or managing work items. Use when you need to track bugs, features, tasks, or epics. Do NOT use for simple one-off questions or explorations.
swarm-coordination
Multi-agent coordination patterns for OpenCode swarm workflows. Use when work benefits from parallelization or coordination. Covers: decomposition, worker spawning, file reservations, progress tracking, and review loops.
system-design
Principles for building reusable coding systems. Use when designing modules, APIs, CLIs, or any code meant to be used by others. Based on "A Philosophy of Software Design" by John Ousterhout. Covers deep modules, complexity management, and design red flags.
skill-generator
Meta-skill for generating new skills with proper format and structure. Use when creating new skills for the swarm system or when agents need to generate skill scaffolds. Ensures skills follow conventions (frontmatter format, directory structure, bundled resources).
swarm-cli
Swarm CLI commands for workers - hivemind memory, hive tasks, swarmmail coordination. Use when working in a swarm context. Covers: swarm memory (find/store/get/stats), swarm cells (query/create/update/close), and coordination commands.
gh-issue-triage
GitHub issue triage workflow with contributor profile extraction. Analyze → clarify → file cells → tag → implement → credit. Captures Twitter handles for changeset acknowledgments.
queue
Guide for job queue patterns in multi-agent coordination. Use when deciding between background jobs vs inline execution, submitting long-running tasks, monitoring job progress, and handling failures. Covers when to queue, job priority, retry strategies, and monitoring patterns.
always-on-guidance
Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults while avoiding deprecated bd/cass references. Related skills: swarm-coordination, testing-patterns.
skill-creator
Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discoverable skills.
swarm-planner
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
multi-agent-patterns
guanyangThis skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
qe-github-code-review
proffesor-for-testingComprehensive GitHub code review with AI-powered swarm coordination
qe-performance-analysis
proffesor-for-testingComprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
qe-github-workflow-automation
proffesor-for-testingAdvanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
qcsd-ideation-swarm
proffesor-for-testingQCSD Ideation phase swarm for Quality Criteria sessions using HTSM v6.3, Risk Storming, and testability analysis before development begins. Uses a 5-tier browser cascade: Vibium → agent-browser → Playwright+Stealth → WebFetch → WebSearch-fallback.
github-workflow-automation
proffesor-for-testingAdvanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
github-release-management
proffesor-for-testingComprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Swarm Orchestration
proffesor-for-testingOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
qe-github-release-management
proffesor-for-testingComprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
github-code-review
proffesor-for-testingComprehensive GitHub code review with AI-powered swarm coordination
hive-mind-advanced
proffesor-for-testingAdvanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory