Skill Introduction

Overview

Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, claude, mcp work faster.

Target users

Developers, testers, and maintainers who handle Development tasks in Focus Code.
Teams that already trust workflows or content from ruvnet.
Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

Read the skill content first to confirm required inputs, expected outputs, and dependencies.
Try it on a small task before relying on it for critical work.
Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

Tasks related to github, community, claude, mcp that need a reusable execution flow.
Converting a community repo, team convention, or personal workflow into day-to-day assistance.
Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

Results depend on the quality of the original skill content and may need human correction.
It does not replace code review, tests, security review, or professional judgment.
External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

Structured around Development, making it easier to discover and reuse than loose prompt snippets.
Marked as GitHub, which helps users judge trust and maintenance expectations.
Keeps the original source link available for repository, documentation, or discussion follow-up.
Tagged with github, community, claude, mcp, so it can be filtered by concrete task intent.

Install and use

Install

Copy Install Command

focus install goal-plan-444bf7

View source

Detail Preview

SKILL.md

Primary filemarkdown3 KB

name: goal-plan description: Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning argument-hint: "<goal-description>" allowed-tools: mcpclaude-flowtask_create mcpclaude-flowtask_list mcpclaude-flowtask_status mcpclaude-flowtask_assign mcpclaude-flowtask_update mcpclaude-flowtask_complete mcpclaude-flowtask_summary mcpclaude-flowmemory_store mcpclaude-flowmemory_search mcpclaude-flowneural_predict mcpclaude-flowworkflow_create mcpclaude-flowworkflow_execute mcpclaude-flowworkflow_status mcpclaude-flowhooks_intelligence_trajectory-start mcpclaude-flowhooks_intelligence_trajectory-step mcpclaude-flowhooks_intelligence_trajectory-end Bash Read Write Edit

Goal Plan

Create and execute intelligent plans using Goal-Oriented Action Planning (GOAP).

When to use

When you have a complex objective that requires multiple steps, has dependencies between steps, and may need adaptive replanning as conditions change.

Steps

Define goal state — what does "done" look like? List concrete success criteria
Assess current state — what's true now? What assets, code, infrastructure exist?
Identify gap — what must change between current and goal state?
Inventory actions — list available actions with:
- Preconditions (what must be true before this action)
- Effects (what becomes true after this action)
- Cost estimate (time, complexity, risk)
Generate plan — find the optimal action sequence using A* through the state space
Record trajectory — call mcp__claude-flow__hooks_intelligence_trajectory-start to begin tracking
Create tasks — call mcp__claude-flow__task_create for each action in the plan
Execute — work through tasks in dependency order:
- Before each action: verify preconditions still hold
- After each action: verify effects achieved
- Record each step via mcp__claude-flow__hooks_intelligence_trajectory-step
Monitor & replan — if an action fails or produces unexpected results:
- Reassess current state
- Recalculate optimal path from new state
- Update remaining tasks
Complete trajectory — call mcp__claude-flow__hooks_intelligence_trajectory-end
Store successful plan — call mcp__claude-flow__memory_store with namespace goap-plans

Plan output format

Goal: [concrete objective]
Current State: [key facts]
Plan Cost: [estimated effort]
Steps:
  1. [action] — precondition: [X], effect: [Y], cost: [Z]
  2. [action] — precondition: [Y], effect: [W], cost: [Z]
  ...
Risk Factors: [what could force a replan]
Fallback: [alternative approach if primary path fails]

Replanning triggers

Action fails (precondition no longer met)
Unexpected side effects detected
New information changes goal definition
Cost exceeds threshold
External dependency becomes unavailable

goal plan