concise-planning
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
Best use case
concise-planning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
Teams using concise-planning 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/concise-planning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How concise-planning Compares
| Feature / Agent | concise-planning | 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?
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
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
# Concise Planning ## Goal Turn a user request into a **single, actionable plan** with atomic steps. ## Workflow ### 1. Scan Context - Read `README.md`, docs, and relevant code files. - Identify constraints (language, frameworks, tests). ### 2. Minimal Interaction - Ask **at most 1–2 questions** and only if truly blocking. - Make reasonable assumptions for non-blocking unknowns. ### 3. Generate Plan Use the following structure: - **Approach**: 1-3 sentences on what and why. - **Scope**: Bullet points for "In" and "Out". - **Action Items**: A list of 6-10 atomic, ordered tasks (Verb-first). - **Validation**: At least one item for testing. ## Plan Template ```markdown # Plan <High-level approach> ## Scope - In: - Out: ## Action Items [ ] <Step 1: Discovery> [ ] <Step 2: Implementation> [ ] <Step 3: Implementation> [ ] <Step 4: Validation/Testing> [ ] <Step 5: Rollout/Commit> ## Open Questions - <Question 1 (max 3)> ``` ## Checklist Guidelines - **Atomic**: Each step should be a single logical unit of work. - **Verb-first**: "Add...", "Refactor...", "Verify...". - **Concrete**: Name specific files or modules when possible. ## When to Use This skill is applicable to execute the workflow or actions described in the overview.
Related Skills
inventory-demand-planning
Codified expertise for demand forecasting, safety stock optimisation, replenishment planning, and promotional lift estimation at multi-location retailers.
wordpress-penetration-testing
This skill should be used when the user asks to "pentest WordPress sites", "scan WordPress for vulnerabilities", "enumerate WordPress users, themes, or plugins", "exploit WordPress vu...
php-pro
Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
moodle-external-api-development
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter va...
laravel-expert
Senior Laravel Engineer role for production-grade, maintainable, and idiomatic Laravel solutions. Focuses on clean architecture, security, performance, and modern standards (Laravel 10/11+).
voice-ai-engine-development
Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support
voice-ai-development
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis...
voice-agents
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flo...
lex
Centralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.
amazon-alexa
Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB,...
wcag-audit-patterns
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac...
stitch-loop
Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern