Agent Orchestration

workspace-surface-audit is a read-only audit skill for checking what a workspace and machine can do right now. It inspects the repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommends the best ECC-native skills, hooks, agents, and workflows for Workflow Automation.

unified-notifications-ops is an ECC-native skill for unifying GitHub, Linear, desktop, hook, chat, and email alerts into one operator lane. Use it to define routing, severity, ownership, deduplication, escalation, and follow-up action instead of scattered pings.

token-budget-advisor is a routing skill that helps choose response depth before answering. Use it to control length, detail, or token spend in workflow automation and chat flows. This token-budget-advisor guide covers trigger rules, when not to use it, and how to apply it from skills/token-budget-advisor.

team-builder is an interactive agent picker for composing and dispatching parallel teams from markdown persona files. The team-builder skill helps you browse available agents, group specialists by domain, and build ad-hoc teams for Workflow Automation. Best for repos with flat or subdirectory agent libraries and clear persona structure.

strategic-compact helps you decide when to manually run /compact so Claude sessions stay coherent at task boundaries. It supports long, multi-phase work, especially research, planning, implementation, and testing, and is useful for workflow automation when you want compaction to happen at logical milestones instead of arbitrary auto-compaction.

santa-method is a multi-agent verification workflow for outputs that need to be right before they ship. It uses independent review to catch blind spots in content, code-adjacent deliverables, compliance-sensitive copy, and workflow automation tasks. Install the santa-method skill when you need a repeatable generate, verify, converge loop.

ralphinho-rfc-pipeline is an RFC-driven multi-agent workflow skill for splitting large features into verifiable units, validating each step, and merging with integration checks. It is ideal for ralphinho-rfc-pipeline for Multi-Agent Systems, refactors, schema changes, auth, perf, and security work.

opensource-pipeline helps turn a private project into a public-ready repository through a 3-stage workflow: fork, sanitize, and package. Use the opensource-pipeline skill to strip secrets, verify cleanup, and generate CLAUDE.md, setup.sh, and README for a safer GitHub release.

nanoclaw-repl is a session-aware REPL skill for operating and extending NanoClaw v2. It supports persistent markdown-backed sessions, branching, search, compaction, model switching, and export for Workflow Automation. Use this nanoclaw-repl guide to keep local tasks deterministic and easy to resume.

messages-ops is an evidence-first skill for live messaging tasks: read texts or DMs, recover a recent one-time code, inspect a thread before replying, and verify which source was actually checked. It fits messages-ops for Workflow Automation when source routing and proof matter more than guessing.

iterative-retrieval is a workflow pattern for progressively refining context retrieval in agentic work. It helps subagents avoid too much or too little context, making it useful for iterative-retrieval usage, install decisions, and iterative-retrieval for Workflow Automation.

gateguard is a fact-forcing pre-action gate for Claude workflows. It blocks the first Edit, Write, or Bash attempt, then requires concrete investigation of importers, schemas, user instructions, and related files before allowing changes. Use this gateguard guide to reduce guessing and improve first-pass edits.

gan-style-harness is a Generator-Evaluator skill for Agent Orchestration that helps build complete apps with stricter critique, better iteration, and fewer weak spots. Use it when you need the gan-style-harness skill for frontend-heavy, full-stack, or production-minded work where review quality matters more than speed.

enterprise-agent-ops helps you operate long-lived or cloud-hosted agent systems with observability, safety controls, change management, and recovery planning. Use it when you need a practical guide for agent orchestration, not a one-shot prompt.

dmux-workflows is a guide for orchestrating parallel AI agent sessions with dmux in tmux panes. It helps split research, implementation, testing, and docs across Claude Code, Codex, OpenCode, and similar harnesses so you can manage multi-agent development with less context bottlenecking.

council is a decision-support skill for ambiguous choices, tradeoffs, and go/no-go calls. Use the council skill when multiple valid paths exist and you need structured disagreement before choosing. It fits product, engineering, operations, and strategy decisions where a defensible recommendation matters more than generic brainstorming.

continuous-learning-v2 turns Claude Code sessions into project-scoped learning with hooks, observer agents, confidence scoring, and promotion of repeated patterns into skills, commands, or agents.

cost-aware-llm-pipeline helps you build LLM workflows that control API spend with model routing, immutable cost tracking, retry handling, and prompt caching. Ideal for batch jobs, document pipelines, and Workflow Automation where output volume and quality tradeoffs need clear rules.

continuous-agent-loop helps agents run repeatable autonomous loops with quality gates, evals, recovery steps, and clear stop rules for reliable task completion.

claude-devfleet is a multi-agent orchestration skill for Claude DevFleet. It helps you plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports. Best for larger coding tasks that benefit from dependency-aware missions, not quick single-file edits.

claude-api helps with Anthropic Claude API patterns for Python and TypeScript, including install, messages, streaming, tool use, vision, batches, prompt caching, model selection, and Claude Agent SDK workflows.

blueprint turns a one-line objective into a step-by-step construction plan for complex engineering work. It is built for multi-session, multi-PR tasks, refactors, migrations, and blueprint for Project Setup when a fresh agent needs context, dependency order, parallel-step detection, and review gates.

autonomous-loops is a skill for designing autonomous Claude Code workflows, from simple sequential pipelines to multi-agent DAG orchestration with quality gates and handoffs.

autonomous-agent-harness turns Claude Code into a persistent, self-directing agent system with memory, scheduled runs, task dispatch, and computer use. It fits agent orchestration, recurring checks, and long-lived workflows when you need more than a one-time prompt.