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Concise planning

Skill karim-bhalwani/agent-skills-collection/skills/concise-planning

AI agents are smart but unreliable without procedure. "Agent Skills" are executable checklists that package expertise.

Install
npx -y skills add karim-bhalwani/agent-skills-collection --skill concise-planning

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Generate clear, actionable, and atomic checklists for coding tasks with minimal interaction and reasonable assumptions. Use when creating implementation plans, breaking down tasks into steps, generating task checklists, or planning project workflows.

SKILL.md

3.3 KB, as published. Nobody here has run it

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

# 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.

Outputs & Deliverables

  • Primary Output: A single plan.md following the Plan Template
  • Secondary Output: Open questions and assumptions list
  • Success Criteria: Plan has atomic action items and at most 3 blocking questions
  • Quality Gate: Plan reviewed and approved by requester or implementer

Constraints

  • Technical Constraints: Do not implement code in this step; produce a plan only.
  • Scope Constraints: Plans should be limited to the requested scope; avoid speculative features.
  • Governance Constraints: Align plan with project-context.md and spec.md if present.

Common Pitfalls

  • Over-Planning: Creating 30+ atomic steps when 6-10 suffice. Keep it concise; details emerge during execution.
  • Vague Action Items: "Implement feature" isn't actionable. "Add payment processing to checkout flow" is specific.
  • Missing Validation Steps: A plan without testing/verification sets up for rework. Always include a validation checkpoint.
  • Ignoring Dependencies: Listing steps in random order instead of respecting precedence. Steps must be executable in sequence.
  • Scope Creep: Including "nice-to-haves" in the main plan. Use "Out of Scope" section to acknowledge but exclude them.
  • Assuming All Context: Not reading existing code/docs leads to redundant or conflicting plans. Always scan context first.

Integration Points

PhaseInput FromOutput ToContext
InputUser request + contextPlan generationScan code, README, and constraints
Design Specsarchitect specificationsImplementation stepsUse spec.md to guide atomic tasks
ExecutionApproved planimplementerHand off actionable checklist
MonitoringProgress updatesStatus trackingAdjust if blockers emerge

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.