Open
Conversation
Skill for designing, building, and debugging multi-agent systems. Features: - 8 agent archetypes (Perceiver, Classifier, Analyzer, Synthesizer, Validator, Resolver, Planner, Executor) - 5 communication patterns (Sequential Chalkboard, Fan-Out, Pipeline with Gates, Adversarial Pair, Iterative Refinement) - Deterministic-first cascade for cost optimization - Chalkboard protocol for shared agent state - Pipeline validation script (cycles, schemas, budgets) - Chalkboard simulation engine - 5 eval test cases Production-tested across 5+ swarms with 50-82% deterministic solve rates. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Adds a swarm-orchestrator skill that teaches Claude to design, build, and debug multi-agent systems.
Included Files
SKILL.md— Core skill instructions (~300 lines)scripts/validate_pipeline.py— Pipeline definition validator (cycles, schemas, budgets)scripts/simulate.py— Chalkboard simulation engine for dry runsreferences/archetypes.md— Detailed archetype guide with decision matrixreferences/examples.md— 4 complete swarm designs + debugging walkthroughevals/evals.json— 5 test casesWhy This Skill
Anthropic shipped agent teams in Opus 4.6. 123+ plugins in the marketplace. Zero teach multi-agent orchestration. This fills the biggest architectural gap — how to design agent systems that are debuggable, cost-efficient, and deterministic-first.
Companion to knowledge-graph-reasoning (#888) — structured knowledge + agent orchestration = complete autonomous systems.
Test plan
Built by Swarm Labs USA | Standalone repo
🤖 Generated with Claude Code