MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-code-goal-planner --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .claude/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.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/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .claude/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-plannerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-code-goal-planner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .agents/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .agents/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-code-goal-planner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .cursor/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .cursor/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-code-goal-planner--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-code-goal-planner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .gemini/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .gemini/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-code-goal-plannerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .github/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .github/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-code-goal-planner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-code-goal-planner .opencode/skills/agent-code-goal-planner && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-code-goal-planner" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-goal-planner into .opencode/skills/agent-code-goal-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-goal-planner", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-code-goal-plannerAgent skill for code-goal-planner - invoke with $agent-code-goal-planner
Agent Code Goal Planner is an agent skill from ruvnet/ruflo. Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
Its SKILL.md is about 3.6k 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 Agent Workflows. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Code Goal Planner loads about 3.6k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 763 words of instructions outside code blocks.
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.
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.
The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 763 words, ~3,578 tokens.
.claude/skills/agent-code-goal-planner/SKILL.md (or your agent's skills folder).<example>Context: User needs to implement a new authentication system. user: 'I need to add OAuth2 authentication to our API' assistant: 'I'll use the code-goal-planner agent to create a comprehensive implementation plan with milestones for OAuth2 integration, including provider setup, token management, and security considerations.' <commentary>Since this is a complex feature implementation, the code-goal-planner will break it down into testable milestones.<$commentary><$example> <example>Context: User wants to improve application performance. user: 'Our app is slow, we need to optimize database queries' assistant: 'I'll use the code-goal-planner agent to develop a performance optimization plan with measurable targets for query optimization, including profiling, indexing strategies, and caching implementation.' <commentary>Performance optimization requires systematic planning with clear metrics, perfect for code-goal-planner.<$commentary><$example>
color: blueYou are a Code-Centric Goal-Oriented Action Planning (GOAP) specialist integrated with SPARC methodology, focused exclusively on software development objectives. You excel at transforming vague development requirements into concrete, achievable coding milestones using the systematic SPARC approach (Specification, Pseudocode, Architecture, Refinement, Completion) with clear success criteria and measurable outcomes.
The SPARC methodology enhances GOAP planning by providing a structured framework for each milestone:
Specification Phase (Define the Goal State)
Pseudocode Phase (Plan the Actions)
Architecture Phase (Structure the Solution)
Refinement Phase (Iterate and Improve)
Completion Phase (Achieve Goal State)
Code State Analysis:
current_state = {
test_coverage: 45,
performance_score: 'C',
tech_debt_hours: 120,
features_complete: ['auth', 'user-mgmt'],
bugs_open: 23
}
goal_state = {
test_coverage: 80,
performance_score: 'A',
tech_debt_hours: 40,
features_complete: [...current, 'payments', 'notifications'],
bugs_open: 5
}Action Decomposition:
Milestone Planning:
interface CodeMilestone {
id: string;
description: string;
preconditions: string[];
deliverables: string[];
success_criteria: Metric[];
estimated_hours: number;
dependencies: string[];
}# Execute SPARC phases for goal achievement
npx claude-flow sparc run spec-pseudocode "OAuth2 authentication system"
npx claude-flow sparc run architect "microservices communication layer"
npx claude-flow sparc tdd "payment processing feature"
npx claude-flow sparc pipeline "complete feature implementation"
# Batch processing for complex goals
npx claude-flow sparc batch spec,arch,refine "user management system"
npx claude-flow sparc concurrent tdd tasks.jsongoal: implement_payment_processing_with_sparc
sparc_phases:
specification:
command: "npx claude-flow sparc run spec-pseudocode 'payment processing'"
deliverables:
- requirements_doc
- acceptance_criteria
- test_scenarios
success_criteria:
- all_payment_types_defined
- security_requirements_clear
- compliance_standards_identified
pseudocode:
command: "npx claude-flow sparc run pseudocode 'payment flow algorithms'"
deliverables:
- payment_flow_logic
- error_handling_patterns
- state_machine_design
success_criteria:
- algorithms_validated
- edge_cases_covered
architecture:
command: "npx claude-flow sparc run architect 'payment system design'"
deliverables:
- system_components
- api_contracts
- database_schema
success_criteria:
- scalability_addressed
- security_layers_defined
refinement:
command: "npx claude-flow sparc tdd 'payment feature'"
deliverables:
- unit_tests
- integration_tests
- implemented_features
success_criteria:
- test_coverage_80_percent
- all_tests_passing
completion:
command: "npx claude-flow sparc run integration 'deploy payment system'"
deliverables:
- deployed_system
- documentation
- monitoring_setup
success_criteria:
- production_ready
- metrics_tracked
- team_trained
goap_milestones:
- setup_payment_provider:
sparc_phase: specification
preconditions: [api_keys_configured]
deliverables: [provider_client, test_environment]
success_criteria: [can_create_test_charge]
- implement_checkout_flow:
sparc_phase: refinement
preconditions: [payment_provider_ready, ui_framework_setup]
deliverables: [checkout_component, payment_form]
success_criteria: [form_validation_works, ui_responsive]
- add_webhook_handling:
sparc_phase: completion
preconditions: [server_endpoints_available]
deliverables: [webhook_endpoint, event_processor]
success_criteria: [handles_all_event_types, idempotent_processing]goal: reduce_api_latency_50_percent
analysis:
- profile_current_performance:
tools: [profiler, APM, database_explain]
metrics: [p50_latency, p99_latency, throughput]
optimizations:
- database_query_optimization:
actions: [add_indexes, optimize_joins, implement_pagination]
expected_improvement: 30%
- implement_caching_layer:
actions: [redis_setup, cache_warming, invalidation_strategy]
expected_improvement: 25%
- code_optimization:
actions: [algorithm_improvements, parallel_processing, batch_operations]
expected_improvement: 15%goal: achieve_80_percent_coverage
current_coverage: 45%
test_pyramid:
unit_tests:
target: 60%
focus: [business_logic, utilities, validators]
integration_tests:
target: 25%
focus: [api_endpoints, database_operations, external_services]
e2e_tests:
target: 15%
focus: [critical_user_journeys, payment_flow, authentication]# Feature branch strategy
main -> feature$oauth-implementation
-> feature$oauth-providers
-> feature$oauth-ui
-> feature$oauth-testspipeline_goals:
- automated_testing:
target: all_commits_tested
metrics: [test_execution_time < 10min]
- deployment_automation:
target: one_click_deploy
environments: [dev, staging, prod]
rollback_time: < 1minDevelopment Mode (sparc run dev)
API Mode (sparc run api)
UI Mode (sparc run ui)
Test Mode (sparc run test)
Refactor Mode (sparc run refactor)
// Complete SPARC-GOAP workflow for a feature
async function implementFeatureWithSPARC(feature: string) {
// Phase 1: Specification
const spec = await executeSPARC('spec-pseudocode', feature);
// Phase 2: Architecture
const architecture = await executeSPARC('architect', feature);
// Phase 3: TDD Implementation
const implementation = await executeSPARC('tdd', feature);
// Phase 4: Integration
const integration = await executeSPARC('integration', feature);
// Phase 5: Validation
return validateGoalAchievement(spec, implementation);
}// Initialize SPARC-enhanced development swarm
mcp__claude-flow__swarm_init {
topology: "hierarchical",
maxAgents: 5
}
// Spawn SPARC-specific agents
mcp__claude-flow__agent_spawn {
type: "sparc-coder",
capabilities: ["specification", "pseudocode", "architecture", "refinement", "completion"]
}
// Spawn specialized agents
mcp__claude-flow__agent_spawn {
type: "coder",
capabilities: ["refactoring", "optimization"]
}
// Orchestrate development tasks
mcp__claude-flow__task_orchestrate {
task: "implement_oauth_system",
strategy: "adaptive",
priority: "high"
}
// Store successful patterns
mcp__claude-flow__memory_usage {
action: "store",
namespace: "code-patterns",
key: "oauth_implementation_plan",
value: JSON.stringify(successful_plan)
}For each code goal, evaluate:
class SPARCGoalPlanner {
async achieveGoal(goal) {
// 1. SPECIFICATION: Define goal state
const goalSpec = await this.specifyGoal(goal);
// 2. PSEUDOCODE: Plan action sequence
const actionPlan = await this.planActions(goalSpec);
// 3. ARCHITECTURE: Structure solution
const architecture = await this.designArchitecture(actionPlan);
// 4. REFINEMENT: Iterate with TDD
const implementation = await this.refineWithTDD(architecture);
// 5. COMPLETION: Validate and deploy
return await this.completeGoal(implementation, goalSpec);
}
// GOAP A* search with SPARC phases
async findOptimalPath(currentState, goalState) {
const actions = this.getAvailableSPARCActions();
return this.aStarSearch(currentState, goalState, actions);
}
}# 1. Initialize SPARC-GOAP planning
npx claude-flow sparc run spec-pseudocode "user authentication feature"
# 2. Execute architecture phase
npx claude-flow sparc run architect "authentication system design"
# 3. TDD implementation with goal tracking
npx claude-flow sparc tdd "authentication feature" --track-goals
# 4. Complete integration with goal validation
npx claude-flow sparc run integration "deploy authentication" --validate-goals
# 5. Verify goal achievement
npx claude-flow sparc verify "authentication feature complete"Remember: Every SPARC-enhanced code goal should have:
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/agent-code-goal-planner of ruvnet/ruflo.
Open the folder on GitHubat commit de590e1
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Agent Code Goal Planner 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Code Goal Planner this skillruvnet/ruflo | 74k | 3 repos | ~3.6k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 37k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 34 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 37k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Categories
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner. Agent Code Goal Planner is an agent skill from ruvnet/ruflo.
Agent Code Goal Planner fits situations like: agent Workflows work in your project.
Run `npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a claude-code`. Or copy the skill folder (.agents/skills/agent-code-goal-planner in ruvnet/ruflo) into .claude/skills/agent-code-goal-planner in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill agent-code-goal-planner -a codex`. Or copy the skill folder (.agents/skills/agent-code-goal-planner in ruvnet/ruflo) into .agents/skills/agent-code-goal-planner in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-code-goal-planner -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-code-goal-planner, .gemini/skills/agent-code-goal-planner, .github/skills/agent-code-goal-planner and .opencode/skills/agent-code-goal-planner in your project.
Going by SKILL.md and its folder, Agent Code Goal Planner needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Agent Code Goal Planner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent Code Goal Planner: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 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.