Skip to content

Preparing Archive

Core
5d 1h ago
Reviewed

concise-planning

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

.agents/skills/concise-planning TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."

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.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/concise-planning

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
0%
1
0%
No explicit validation signals were parsed for this skill yet, but the module remains available for inspection and chat launch.

Recommended for this workflow

Adjacent modules that complement this skill surface

Loading content
Loading content
Cart