plan

plan is a skill for Claude Code from chrille0313/agentic-monorepo-template. It costs 69 tokens per session (788 once invoked), scanned A, original, MIT.

An interactive feature-planning workflow that turns a rough idea into approved, build-ready tasks. It can produce one implementation brief or a backlog of tasks ordered by dependencies.

In plain words
What is it for?
Use it to plan a feature, break down a project, or create implementation issues before development starts.
Why use it?
It removes guesswork before coding by clarifying goals, behaviour, constraints, scope, and how success will be checked. It also prevents work from being split into tasks that are too large or poorly ordered.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to plan a feature, break down a project, or create implementation issues before development starts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chrille0313/agentic-monorepo-template/plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add chrille0313/agentic-monorepo-template --skill plan
Clone the repo
git clone --depth 1 https://github.com/chrille0313/agentic-monorepo-template

Made for: Claude Code.

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.

agentmods badge for plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/chrille0313/agentic-monorepo-template/plan/github.svg)](https://agentmods.dev/skills/chrille0313/agentic-monorepo-template/plan)
Your own site
<a href="https://agentmods.dev/skills/chrille0313/agentic-monorepo-template/plan"><img src="https://agentmods.dev/badge/skills/chrille0313/agentic-monorepo-template/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.

agentmods 80×15 button for plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/chrille0313/agentic-monorepo-template/plan"><img src="https://agentmods.dev/badge/skills/chrille0313/agentic-monorepo-template/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00788
Opus 5.5 $0.00028 $0.00315
Sonnet 5.5 $0.00014 $0.00158
Haiku 4.5 $0.00007 $0.00079

Measured yesterday against content hash 1c9f056f705c, 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 yesterday.

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.

.claude/skills/plan/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/plan: from idea to build-ready work

Input ($ARGUMENTS): a feature or project description, however rough.

Outcome: a plan the user has explicitly approved, expressed as right-sized, build-ready tasks the inner loop can consume one at a time. The quality bar is high on purpose: first-pass quality is the dominant predictor of loop output (see docs/DESIGN.md), and the spec is where first-pass quality is decided.

1. Understand before proposing

Interview the user, as many rounds as it takes, until you can state without guessing: the goal and why now, the user-visible behavior, constraints (stack, compatibility, performance, security), what is explicitly out of scope, and how success is verified. The plan must be grounded in the codebase as it actually is, not as assumed. Challenge vague answers instead of absorbing them: "proper auth" is not a requirement; "email+password login with session cookies, no OAuth yet" is. Surface the decisions the user hasn't realized they're making.

2. Propose, then iterate to approval

Present the plan: approach, decomposition, ordering with dependencies, and open risks. Iterate until the user explicitly approves. Create nothing before approval.

Size tasks by cohesion. One task is a chunk an implementer can carry to a coherent, finished state and a human can still review in one sitting; it leaves the app releasable and is verifiable on its own. Splitting costs a spec, a branch, a review loop and a merge, and the seams are where incoherence enters, so a split needs a reason — typically:

  • a hard dependency (one task's output is another's input),
  • a risky unknown worth landing on its own, so it can be judged or reverted in isolation,
  • a diff a human could no longer review honestly in one pass.

A coherent surface — a page, a user flow, a design system, a resource end-to-end — is the natural unit: build it whole while the diff stays reviewable. Slicing a UI by section is the classic failure, five PRs that each pass review and together look like five different products; when a surface genuinely outgrows one task, split it so the design is still decided once — its foundation lands first and later tasks conform to it.

Read the full file on GitHub · 40 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.

  1. yesterday First seen · 40 lines · 0 tokens per session scan A 1c9f056f705c

Subscribe to this mod's changes

plan is a skill published in the GitHub repository chrille0313/agentic-monorepo-template (6 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 788 once invoked, about $0.0003 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 2026-11-07.

Related

plan compared with skills from other repositories

plan next to 6 skills from other repositories
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