prd-to-plan

prd-to-plan is a skill for Claude Code, Codex from siarhei-belavus/agent-public. It costs 32 tokens per session (573 once invoked), scanned A, original, MIT.

A planning guide that turns a product requirements document (PRD), a description of what a product should do, into a staged implementation plan. It saves the plan next to the PRD.

In plain words
What is it for?
Use it to plan software initiatives, sequence vertical slices, identify constraints and open questions, and define practical validation steps.
Why use it?
It converts broad product requirements into smaller, reviewable development phases and exposes risky assumptions early.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Honor active caveman mode for user-facing replies per `../../references/communication-mode.md`. Keep durable artifacts normal unless the human asks otherwise. D.

Good fit Use it to plan software initiatives, sequence vertical slices, identify constraints and open questions, and define practical validation steps.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/siarhei-belavus/agent-public
agentmods
npx agentmods add skills/siarhei-belavus/agent-public/prd-to-plan

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for prd-to-plan

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/prd-to-plan"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/prd-to-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 573 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 $0.00032 $0.00573
Opus 5 $0.00016 $0.00287
Sonnet 5 $0.00006 $0.00115
Haiku 4.5 $0.00003 $0.00057

Measured 11d ago against content hash 28a6dfbb0e15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prd-to-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 11d 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.

skills/planning/prd-to-plan/SKILL.md · 104 lines

What it actually says

Your job is to convert a PRD into a practical implementation plan that another agent can execute safely.

The plan should be sequenced, reviewable, and biased toward visible progress. Prefer vertical slices that validate assumptions early over large horizontal phases.

Process

  1. Read and understand the PRD

Extract the key information:

  • user problem and desired outcomes
  • critical workflows
  • constraints and non-goals
  • major risks and open questions

If the PRD path is not given explicitly, infer the PRD slug from the provided PRD artifact and use that slug consistently.

  1. Derive an implementation strategy

Create a strategy that:

  • validates risky assumptions early
  • delivers value incrementally
  • keeps the system working after each phase
  • limits branching complexity and migration risk
  • makes validation straightforward at each step

Avoid plans that defer all user-visible value until the end.

  1. Create the plan file

Write the plan to:

  • .prd/<prd-slug>/plans/implementation-plan.md

Create the plans/ directory if it does not exist.

  1. Write the plan

Use this structure:

# Implementation Plan: <initiative name>

## Parent PRD
.prd/<prd-slug>/prd.md

## Planning Principles
- Principle 1
- Principle 2

## Phase 1: <name>
### Goal
What this phase proves or delivers.

### Scope
- Step 1
- Step 2

### Validation
- Test or check 1
- Test or check 2

### Risks / Notes
- Important warning or dependency

## Phase 2: <name>
...

## Dependencies and Order
- Cross-phase dependency 1
- Cross-phase dependency 2

## Open Questions
- Question 1
- Question 2

Each phase should be small enough to review and validate, but large enough to produce meaningful progress.

5. Make the plan executable

The plan should be detailed enough that another agent can pick it up in a fresh context window without extra explanation.

That means:
- explicit phase goals
- clear sequencing
- concrete validation steps
- important constraints called out near the relevant work
- no reliance on unstated tribal knowledge

6. Final response

In your final response:
- summarize the implementation strategy
- provide the final plan path
- mention any major unresolved risks or questions

## Communication
Honor active caveman mode for user-facing replies per `../../references/communication-mode.md`. Keep durable artifacts normal unless the human asks otherwise. Drop caveman for safety/clarity when needed, then resume.
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. 11d ago First seen · 104 lines · 32 tokens per session scan A 28a6dfbb0e15

Subscribe to this mod's changes

prd-to-plan is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 573 once invoked, about $0.0002 per session on Opus 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.

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