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SkillsMP は ruvnet/ruflo から 310 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 310 件中 40 件を表示しています。
Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical…
原文の言語: 英語
Claims-based authorization for agents and operations. Grant, revoke, and verify permissions for secure multi-agent coordination. Use when: permission management, access control, secure operations, authorization checks. Skip when: open access, no security…
原文の言語: 英語
Coordinate with the open ruflo swarm federation at x.ruv.io (signed Nostr, membership-gated) and ask Seraphina — the swarm queen / primary coordinator — for guidance. Use when: seeing who is online across the internet, reading/assigning work, checking or…
原文の言語: 英語
Join and operate a signed cross-host agentbbs federation, and coordinate work claims across nodes. Use when: connecting ruflo agents across machines, sharing status/tasks/results between hosts, propagating work claims across a swarm, or standing up a…
原文の言語: 英語
One-time setup — mint a Cognitum Music personal access token and register the cogmusic MCP server with Claude Code
原文の言語: 英語
Generate a new song from a creative brief (genre, mood, language, BPM, theme) via the cogmusic MCP create_production tool
原文の言語: 英語
Fetch metadata and audio_url for a single production by id
原文の言語: 英語
List the account's saved music productions with metadata and audio_url
原文の言語: 英語
Run a mastering pass (LUFS loudness normalization + peak limiting) on an existing production
原文の言語: 英語
Extract MIDI/score from an existing production
原文の言語: 英語
Run 4-stem separation (vocals/drums/bass/other) on an existing production
原文の言語: 英語
One-shot chat completion against DeepSeek's `deepseek-chat` model via the OpenAI-compatible /v1/chat/completions endpoint. Reads DEEPSEEK_API_KEY from the environment; degrades gracefully (exit 0 with a JSON status:degraded envelope) when the key is missing…
原文の言語: 英語
Reasoning-mode completion against DeepSeek's `deepseek-reasoner` model (R1) via /v1/chat/completions. Surfaces the model's chain-of-thought (`reasoning_content`) separately from the final answer (`content`), so callers can display or discard the CoT without…
原文の言語: 英語
Inspect and audit GEPA genomes via the `@metaharness/darwin/gepa` library entry (darwin 0.8.0) — load/validate a genome (default is the shipped cand-6 promotion), render the system prompt a genome compiles to, or classify failure modes in a run transcript.…
原文の言語: 英語
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
原文の言語: 英語
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
原文の言語: 英語
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…
原文の言語: 英語
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
原文の言語: 英語
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
原文の言語: 英語
Show AGNTCY/SLIM/CASA integration status — whether upstream AGNTCY packages are installed, which transport (local vs SLIM) is active, and whether CASA enforcement is enabled. Use when the user asks "is AGNTCY configured?", "show SLIM/CASA status", or "is…
原文の言語: 英語
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
原文の言語: 英語
Build or rebuild the ADR index + dependency graph by running scripts/import.mjs (handles v3-style and plugin-style ADR formats; one Bash call vs hundreds of MCP round-trips)
原文の言語: 英語
7-section repo readiness report from `metaharness genome <path>`. Returns repo_type / agent_topology / risk_score / mcp_surface / test_confidence / publish_readiness. Pure-read; degrades gracefully (ADR-150).
原文の言語: 英語
Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
原文の言語: 英語
Sign, verify, and track fix-marker regressions over time using a deterministic Ed25519 witness manifest. Works in any project — clone the toolkit, run init, register fixes, regen on each release.
原文の言語: 英語
GitHub workflow automation for issues, pull requests, CI, and releases. Use when: repository hosting actions are explicitly requested. Skip when: local git operations are sufficient or publishing is unauthorized.
原文の言語: 英語
Performance profiling, benchmarking, and optimization. Use when: slow operations, regressions, memory pressure, release validation. Skip when: early prototyping, documentation, configuration-only changes.
原文の言語: 英語
Reconcile the ADR index against a DELETED ADR file or relation line by dropping and rebuilding adr-patterns + adr-edges from scratch (scripts/reindex.mjs). Use when adr-index alone leaves stale rows behind.
原文の言語: 英語
Review code changes against accepted ADRs for compliance violations
原文の言語: 英語
Read back adr-patterns + adr-edges namespaces, surface dangling refs / supersede cycles / status mismatches; exit 1 on cycles
原文の言語: 英語
Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
原文の言語: 英語
Create and manage sandboxed WASM agents for isolated code execution
原文の言語: 英語
Browse, publish, and install WASM agents from the community gallery
原文の言語: 英語
Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search
原文の言語: 英語
Vector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction
原文の言語: 英語
Detect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.
原文の言語: 英語
Scan inputs for prompt injection, unsafe content, and adversarial attacks using AIDefence. Use when processing untrusted input (user submissions, API payloads, webhook data, tool outputs) before passing it to a model or executing it.
原文の言語: 英語
Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
原文の言語: 英語
Use learned patterns and current state to predict the optimal next action
原文の言語: 英語
Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md
原文の言語: 英語