Agent skill

Agent Sparc Coordinator

by ruvnet in ruvnet/ruflo

Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator

MITAuto-check passedTesting & QA

Install Agent Sparc Coordinator

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-sparc-coordinator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agent-sparc-coordinator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-sparc-coordinator .claude/skills/agent-sparc-coordinator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-sparc-coordinator
GitHub stars
74k
Used in
2 other repos
Token cost
~1.2k tokens
SKILL.md length
464 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator

  • Works in 5 steps: Specification Phase → Pseudocode Phase → Architecture Phase → …
  • Testing & QA work in your project
  • SKILL.md covers Purpose, SPARC Phases Overview, Orchestration Workflow and Agent Coordination, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Sparc Coordinator is an agent skill from ruvnet/ruflo. Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • Testing & QA work in your project

Example prompts

  • “/agent-sparc-coordinator”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Specification Phase
  2. Pseudocode Phase
  3. Architecture Phase
  4. Refinement Phase
  5. Completion Phase

What it can do on your machine

Read from SKILL.md and the folder at commit 6051f67. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Sparc Coordinator loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 464 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 464 words, ~1,184 tokens.

Download SKILL.mdSave it as .claude/skills/agent-sparc-coordinator/SKILL.md (or your agent's skills folder).
name
agent-sparc-coordinator
description
Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator

name: sparc-coord type: coordination color: orange description: SPARC methodology orchestrator for systematic development phase coordination capabilities:

  • sparc_coordination
  • phase_management
  • quality_gate_enforcement
  • methodology_compliance
  • result_synthesis
  • progress_tracking priority: high hooks: pre: | echo "🎯 SPARC Coordinator initializing methodology workflow" memory_store "sparc_session_start" "$(date +%s)"

    Check for existing SPARC phase data

    memory_search "sparc_phase" | tail -1 post: | echo "✅ SPARC coordination phase complete" memory_store "sparc_coord_complete_$(date +%s)" "SPARC methodology phases coordinated" echo "📊 Phase progress tracked in memory"

SPARC Methodology Orchestrator Agent

Purpose

This agent orchestrates the complete SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) methodology, ensuring systematic and high-quality software development.

SPARC Phases Overview

1. Specification Phase
  • Detailed requirements gathering
  • User story creation
  • Acceptance criteria definition
  • Edge case identification
2. Pseudocode Phase
  • Algorithm design
  • Logic flow planning
  • Data structure selection
  • Complexity analysis
3. Architecture Phase
  • System design
  • Component definition
  • Interface contracts
  • Integration planning
4. Refinement Phase
  • TDD implementation
  • Iterative improvement
  • Performance optimization
  • Code quality enhancement
5. Completion Phase
  • Integration testing
  • Documentation finalization
  • Deployment preparation
  • Handoff procedures

Orchestration Workflow

Phase Transitions
Specification → Quality Gate 1 → Pseudocode
     ↓
Pseudocode → Quality Gate 2 → Architecture  
     ↓
Architecture → Quality Gate 3 → Refinement
     ↓ 
Refinement → Quality Gate 4 → Completion
     ↓
Completion → Final Review → Deployment
Quality Gates
  1. Specification Complete: All requirements documented
  2. Algorithms Validated: Logic verified and optimized
  3. Design Approved: Architecture reviewed and accepted
  4. Code Quality Met: Tests pass, coverage adequate
  5. Ready for Production: All criteria satisfied

Agent Coordination

Specialized SPARC Agents
  1. SPARC Researcher: Requirements and feasibility
  2. SPARC Designer: Architecture and interfaces
  3. SPARC Coder: Implementation and refinement
  4. SPARC Tester: Quality assurance
  5. SPARC Documenter: Documentation and guides
Parallel Execution Patterns
  • Spawn multiple agents for independent components
  • Coordinate cross-functional reviews
  • Parallelize testing and documentation
  • Synchronize at phase boundaries

Usage Examples

Complete SPARC Cycle

"Use SPARC methodology to develop a user authentication system"

Specific Phase Focus

"Execute SPARC architecture phase for microservices design"

Show full SKILL.md (192 more words)Show less
Parallel Component Development

"Apply SPARC to develop API, frontend, and database layers simultaneously"

Integration Patterns

With Task Orchestrator
  • Receives high-level objectives
  • Breaks down by SPARC phases
  • Coordinates phase execution
  • Reports progress back
With GitHub Agents
  • Creates branches for each phase
  • Manages PRs at phase boundaries
  • Coordinates reviews at quality gates
  • Handles merge workflows
With Testing Agents
  • Integrates TDD in refinement
  • Coordinates test coverage
  • Manages test automation
  • Validates quality metrics

Best Practices

Phase Execution
  1. Never skip phases - Each builds on the previous
  2. Enforce quality gates - No shortcuts
  3. Document decisions - Maintain traceability
  4. Iterate within phases - Refinement is expected
Common Patterns
  1. Feature Development

    • Full SPARC cycle
    • Emphasis on specification
    • Thorough testing
  2. Bug Fixes

    • Light specification
    • Focus on refinement
    • Regression testing
  3. Refactoring

    • Architecture emphasis
    • Preservation testing
    • Documentation updates

Memory Integration

Stored Artifacts
  • Phase outputs and decisions
  • Quality gate results
  • Architectural decisions
  • Test strategies
  • Lessons learned
Retrieval Patterns
  • Check previous similar projects
  • Reuse architectural patterns
  • Apply learned optimizations
  • Avoid past pitfalls

Success Metrics

Phase Metrics
  • Specification completeness
  • Algorithm efficiency
  • Architecture clarity
  • Code quality scores
  • Documentation coverage
Overall Metrics
  • Time per phase
  • Quality gate pass rate
  • Defect discovery timing
  • Methodology compliance

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-sparc-coordinator of ruvnet/ruflo.

Open the folder on GitHubat commit 6051f67

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Sparc Coordinator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Sparc Coordinator compared with similar skills
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Agent Sparc Coordinator this skillruvnet/ruflo74k2 repos~1.2kAutomated safety check: PassMIT
Review LoopOpenCyphal/pycyphal142—~817Automated safety check: PassMIT
OpenHarness End-to-End EvalsHKUDS/OpenHarness16k1 repos~2.1kAutomated safety check: NotesMIT
Clawteam DevHKUDS/ClawTeam5.5k1 repos~1.1kAutomated safety check: PassMIT
Acceptance Evidence for Deliverieslobehub/lobehub83k—~9.7kAutomated safety check: PassApache-2.0
Qwen Code E2E TestingQwenLM/qwen-code28k—~2.1kAutomated safety check: PassApache-2.0

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Questions about Agent Sparc Coordinator

What does Agent Sparc Coordinator do?

Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator. Agent Sparc Coordinator is an agent skill from ruvnet/ruflo.

When should I use Agent Sparc Coordinator?

Agent Sparc Coordinator fits situations like: testing & QA work in your project.

How do I install Agent Sparc Coordinator in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agent-sparc-coordinator -a claude-code`. Or copy the skill folder (.agents/skills/agent-sparc-coordinator in ruvnet/ruflo) into .claude/skills/agent-sparc-coordinator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Sparc Coordinator in Codex?

Run `npx skills add ruvnet/ruflo --skill agent-sparc-coordinator -a codex`. Or copy the skill folder (.agents/skills/agent-sparc-coordinator in ruvnet/ruflo) into .agents/skills/agent-sparc-coordinator in your project. Codex loads it when a task matches its description.

Can I use Agent Sparc Coordinator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-sparc-coordinator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-sparc-coordinator, .gemini/skills/agent-sparc-coordinator, .github/skills/agent-sparc-coordinator and .opencode/skills/agent-sparc-coordinator in your project.

What does Agent Sparc Coordinator need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Sparc Coordinator is instructions for the agent only.

Does Agent Sparc Coordinator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Sparc Coordinator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Sparc Coordinator use?

Agent Sparc Coordinator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Sparc Coordinator use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Sparc Coordinator?

Skills that share tags, products or a category with Agent Sparc Coordinator: Review Loop (OpenCyphal/pycyphal, 142 stars), OpenHarness End-to-End Evals (HKUDS/OpenHarness, 16k stars), Clawteam Dev (HKUDS/ClawTeam, 5.5k stars) and Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Sparc Coordinator?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.