A skill for turning a software request into an implementation plan with milestones, tasks, and estimates. It can route architecture, coordination, and technical questions to specialist guidance.

For organizing a feature or project into phases, breaking work into tasks, planning architecture, estimating effort, and recording the plan in project memory.

It gives coding work a documented structure and checks project memory, constraints, and existing work before planning.

How VoTruongDanh/Skills-Agent configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to VoTruongDanh/Skills-Agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/VoTruongDanh/Skills-Agent/main/.agent/skills/plan/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/VoTruongDanh/Skills-Agent

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/votruongdanh/skills-agent/plan/github.svg)](https://agentmods.dev/skills/votruongdanh/skills-agent/plan)

Your own site

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/plan"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/plan"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 802 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00057	$0.00802
Opus 5.5	$0.00023	$0.00321
Sonnet 5.5	$0.00011	$0.00160
Haiku 4.5	$0.00006	$0.00080

Measured 2mo ago against content hash 476e09637286, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agent/skills/plan/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Protocol

START: Read .ai-memory.md from project root. Check existing plans, milestones, project structure, tech stack, ongoing work, and past decisions. END: Update .ai-memory.md using Memory Compaction Rules with: plan summary, phases/tasks, key risks, and first recommended action.

Goal

Turn a request into an actionable plan with clear phases and tasks.

Agent Routing

For architecture planning → read .kiro/skills/agents/agents/project-planner.md and apply its knowledge
For multi-domain coordination → read .kiro/skills/agents/agents/orchestrator.md and apply its knowledge
For technical feasibility → read the relevant specialist agent file:
- Backend: .kiro/skills/agents/agents/backend-specialist.md
- Frontend: .kiro/skills/agents/agents/frontend-specialist.md
- Database: .kiro/skills/agents/agents/database-architect.md

Socratic Gate

Before planning, verify:

What is the desired outcome? (specific deliverable)
What constraints exist? (time, resources, tech stack)
What is already built vs needs to be built? If any answer is unclear, ASK before proceeding.

Workflow

Read Memory — Load .ai-memory.md for project context and history.
Define the objective and acceptance criteria.
Break the work into phases and tasks.
Note file areas, systems, or modules likely to change.
Estimate complexity and highlight risky items.
End with a recommended first task.
Update Memory — Save plan details to .ai-memory.md.

Output format

Objective
Acceptance criteria
Phases (with tasks under each)
File areas / modules affected
Risks (with mitigation)
Recommended first action

Checklist

Objective clearly stated
Acceptance criteria defined
Phases broken down
Tasks are specific and actionable
Complexity estimated per task
Risks identified with mitigation
First action recommended
Memory file updated
Clean code chuẩn (Standard clean code applied)
Cập nhật đầy đủ tất cả các file liên quan (All related files fully updated)

Read the full file on GitHub · 77 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago Changed · +3 lines 476e09637286
2mo ago First seen · 74 lines · 57 tokens per session scan A 1127ffc7ccdb

Subscribe to this mod's changes

plan is a skill published in the GitHub repository VoTruongDanh/Skills-Agent (4 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 802 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Planning Project management

plan next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
planVoTruongDanh/Skills-Agent	Skill	4	1mo ago	MIT	A	57	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

Skills-Agent: Skill for Claude Code