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
planning-with-files
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.
inventory-demand-planning
Codified expertise for demand forecasting, safety stock optimisation, replenishment planning, and promotional lift estimation at multi-location retailers.
docs:write-concisely
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
image-enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
i18n-localization
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
hig-components-search
Apple HIG guidance for navigation-related components including search fields, page controls, and path controls.
hexagonal-architecture-layers-java
Hexagonal architecture layering for Java services with strict boundaries. Trigger: When structuring Java apps by Domain/Application/Infrastructure, or refactoring toward clean architecture.
helm-chart-scaffolding
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or impl...
harness-writing
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.
gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational ...