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agent-patterns

'Execute this skill should be used when the user asks about "SPAWN REQUEST

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill agent-patterns

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Claude Code

Our assessment of agent-patterns

agent-patterns scores 85/100 on our quality scale, 21st of 63 Project & Program Management skills we index (top 34%).

Its SKILL.md is 4.7 KB long, well organised into 8 sections with 3 code examples: a solid amount of guidance for an agent.

With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so agent-patterns is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

agent-patterns compared with similar skills

All 4 of these similar skills score higher than agent-patterns; compare them before choosing.

SkillScoreStarsUpdatedFormat
agent-patterns (this skill)by jeremylongshore852.8k6d agoSKILL.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md
designby nextlevelbuilder100130.2k9d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k9d agoSKILL.md

Frequently asked questions

How do I install agent-patterns?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill agent-patterns. The install tabs above show the steps for each supported agent.
Which AI agents does agent-patterns work with?
It is written for Claude Code, as a SKILL.md file. Other agents that read the same format can often use it too.
Is agent-patterns safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is agent-patterns still maintained?
The repository was last updated 6 days ago, so agent-patterns is actively maintained.

name: agent-patterns description: 'Execute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

' allowed-tools: Read version: 1.20.0 author: Damien Laine damien.laine@gmail.com license: MIT tags:

  • community
  • agent-patterns compatibility: Designed for Claude Code

Agent Patterns

Overview

Agent Patterns defines the coordination protocol for multi-agent sprint execution within the Sprint plugin. It governs how the project architect spawns implementation and testing agents, how agents communicate results via structured reports, and how parallel agents avoid conflicts.

Prerequisites

  • Sprint plugin installed and configured (/plugin install sprint)
  • Sprint directory initialized at .claude/sprint/[N]/
  • specs.md written with clear scope and testing configuration
  • Familiarity with the sprint phase lifecycle (see the sprint-workflow skill)

Instructions

  1. Structure every agent spawn using the SPAWN REQUEST format. Include the agent name, the specification file it should read, and any scope constraints:

    SPAWN REQUEST
    Agent: python-dev
    Specs: .claude/sprint/1/backend-specs.md
    Contract: .claude/sprint/1/api-contract.md
    Scope: Authentication endpoints only
    
  2. Ensure each spawned agent receives only the files relevant to its scope. Pass the api-contract.md as a shared interface so backend and frontend agents stay synchronized.

  3. Collect structured reports from every agent upon completion. Each report must include: work completed, files modified, tests added, and conformity status against the specification.

  4. When running agents in parallel, partition work by domain boundary (e.g., backend vs. frontend vs. CI/CD). Never assign overlapping file paths to concurrent agents.

  5. Feed agent reports back to the project architect for review. The architect decides whether to iterate (re-spawn with narrowed specs) or advance to the next phase.

  6. For testing agents, pass the UI test report format shown in ${CLAUDE_SKILL_DIR}/references/ui-test-report.md so results follow a consistent schema including test counts, coverage, failures, and console errors.

Output

  • SPAWN REQUEST blocks consumed by the sprint orchestrator to launch agents
  • Structured agent reports containing: summary, files changed, test results, and conformity status
  • UI test reports with pass/fail counts, coverage details, failure descriptions, and console error logs
  • Updated status.md reflecting completed and remaining work after each iteration

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Agent receives wrong specification file | Incorrect path in SPAWN REQUEST | Verify the sprint directory number and file name before spawning | | Overlapping file modifications from parallel agents | Scope boundaries not clearly defined | Partition work by domain; assign distinct directories to each agent | | Agent report missing required fields | Agent instructions lack report format | Include the structured report template in the agent prompt | | Infinite iteration loop | Specs never fully satisfied | Check status.md for blocking issues; the orchestrator pauses after 5 iterations | | Agent not found | Misspelled agent name in SPAWN REQUEST | Verify agent markdown files exist in agents/ directory |

Examples

Spawning parallel implementation agents:

SPAWN REQUEST
Agent: python-dev
Specs: .claude/sprint/1/backend-specs.md
Contract: .claude/sprint/1/api-contract.md

SPAWN REQUEST
Agent: nextjs-dev
Specs: .claude/sprint/1/frontend-specs.md
Contract: .claude/sprint/1/api-contract.md

Both agents share the same api-contract.md to ensure API compatibility.

Structured agent report format:

AGENT REPORT
Agent: python-dev
Status: COMPLETE
Files Modified: src/auth/routes.py, src/auth/models.py, tests/test_auth.py
Tests: 12 passed, 0 failed
Conformity: All backend-specs requirements implemented
Notes: JWT token expiry set to 24h per spec

Testing agent coordination:

SPAWN REQUEST
Agent: qa-test-agent
Specs: .claude/sprint/1/specs.md
Run After: python-dev, nextjs-dev

SPAWN REQUEST
Agent: ui-test-agent
Specs: .claude/sprint/1/specs.md
Run After: qa-test-agent

Resources

  • ${CLAUDE_SKILL_DIR}/references/ui-test-report.md -- Structured UI test report format with coverage and failure tracking
  • Sprint workflow skill for phase lifecycle context
  • API contract skill for shared interface design
  • Sprint plugin README for agent architecture overview

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryProject
Updated6d ago
Forks404

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions