agent-patterns
Format SPAWN REQUEST messages to launch parallel agents, generate structured agent status reports, and define communication protocols within the sprint system. Use when the user needs to coordinate multiple agents, format spawn requests, produce agent reports, or establish inter-agent communication patterns.
Best use case
agent-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Format SPAWN REQUEST messages to launch parallel agents, generate structured agent status reports, and define communication protocols within the sprint system. Use when the user needs to coordinate multiple agents, format spawn requests, produce agent reports, or establish inter-agent communication patterns.
Teams using agent-patterns should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-patterns Compares
| Feature / Agent | agent-patterns | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Format SPAWN REQUEST messages to launch parallel agents, generate structured agent status reports, and define communication protocols within the sprint system. Use when the user needs to coordinate multiple agents, format spawn requests, produce agent reports, or establish inter-agent communication patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Agent Patterns Coordinate multi-agent workflows using structured communication protocols. Covers spawn requests, status reports, and inter-agent messaging within the sprint system. ## Spawn Request Format When launching a parallel agent, use this structure: ```markdown ## SPAWN REQUEST - **Agent ID**: <unique-id> - **Role**: <role-name> - **Task**: <one-line description> - **Context**: <relevant files or state> - **Expected Output**: <deliverable format> - **Timeout**: <max duration> ``` ## Agent Report Format Each agent reports back using: ```markdown ## AGENT REPORT - **Agent ID**: <id> - **Status**: completed | failed | blocked - **Summary**: <one-line result> - **Output**: <deliverable or file path> - **Issues**: <blockers or warnings, if any> - **Duration**: <time taken> ``` ## Coordination Workflow 1. **Define tasks** — break work into independent units suitable for parallel execution 2. **Spawn agents** — send SPAWN REQUEST for each task with clear context 3. **Monitor status** — track agent reports as they complete 4. **Handle failures** — retry failed agents or reassign blocked tasks 5. **Merge results** — combine agent outputs into final deliverable, resolving conflicts ## Communication Rules - Agents communicate through structured reports, not free-form text - Each message includes agent ID for traceability - Blocked agents must report immediately rather than waiting silently - The coordinator agent reviews all reports before merging ## Error Handling See `references/errors.md` for common failure modes and recovery steps. ## Examples See `references/examples.md` for complete spawn-and-report workflows.
Related Skills
Testing Anti-Patterns
Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking.
microservices-patterns
Comprehensive microservices patterns skill covering service mesh, traffic management, circuit breakers, resilience patterns, Istio, and production microservices architecture
e2e-testing-patterns
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
architecture-patterns
Software architecture patterns and best practices
api-design-patterns
Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices
wemp-operator
> 微信公众号全功能运营——草稿/发布/评论/用户/素材/群发/统计/菜单/二维码 API 封装
zsxq-smart-publish
Publish and manage content on 知识星球 (zsxq.com). Supports talk posts, Q&A, long articles, file sharing, digest/bookmark, homework tasks, and tag management. Use when publishing content to 知识星球, creating/editing posts, uploading files/images/audio, managing digests, batch publishing, or formatting content for 知识星球.
zoom-automation
Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.
zoho-crm-automation
Automate Zoho CRM tasks via Rube MCP (Composio): create/update records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.
ziliu-publisher
字流(Ziliu) - AI驱动的多平台内容分发工具。用于一次创作、智能适配排版、一键分发到16+平台(公众号/知乎/小红书/B站/抖音/微博/X等)。当用户需要多平台发布、内容排版、格式适配时使用。触发词:字流、ziliu、多平台发布、一键分发、内容分发、排版发布。
zhihu-post-skill
> 知乎文章发布——知乎平台内容创作与发布自动化
zendesk-automation
Automate Zendesk tasks via Rube MCP (Composio): tickets, users, organizations, replies. Always search tools first for current schemas.