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Break features into implementation plans, acceptance criteria, and sequenced tasks.
$ npx -y skills add HybridAIOne/hybridclaw --skill feature-planning --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/feature-planningContext preview
The summary Claude sees to decide when to auto-load this skill.
Break features into implementation plans, acceptance criteria, and sequenced tasks.
name: feature-planning
description: Break features into implementation plans, acceptance criteria, and sequenced tasks.
user-invocable: true
metadata:
hybridclaw:
category: productivity
short_description: "Feature implementation plans."
tags:
- planning
- engineering
- implementation
- delivery
related_skills:
- project-manager
- github-pr-workflowUse this skill to turn a feature request into an implementation plan that is specific enough to execute without rediscovering the codebase.
1. Confirm the goal, constraints, and non-goals. 2. Inspect the current code paths, types, tests, and similar features. 3. Identify the files and system boundaries likely to change. 4. Break the work into small sequenced tasks. 5. Define validation for each stage and for the final change. 6. Capture risks, dependencies, and unanswered questions.
When the user asks for a plan and does not specify a format, use:
1. Goal 2. Current state 3. Proposed approach 4. Task breakdown 5. Validation plan 6. Risks and unknowns 7. Recommended next action
Each task should have one concrete outcome. Prefer:
If the scope is large, group tasks into milestones, but keep each task small enough that an implementer can finish it without further decomposition.
Before finalizing a plan, inspect the repo for:
Use the existing codebase to anchor the plan instead of inventing new patterns.
Every plan should name the checks needed to prove the change works. Prefer the smallest useful set, for example:
npm run typecheck npm run lint npm run test:unit
Replace generic commands with repo-specific ones after inspecting the project.
Use whichever artifact best fits the request:
For plans that will be handed to another implementer, optimize for clarity over brevity: exact files, concrete commands, and explicit success criteria.
Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory
Install and use 1Password CLI (`op`) to sign in, inspect vault items, read secrets safely, and inject secrets into commands.
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