product

product is a skill for Claude Code, Codex from anilcancakir/claude-code. It costs 49 tokens per session (2,142 once invoked), scanned A, original, MIT.

A product-planning workflow that turns an idea into a feasibility-checked product requirements document and roadmap. A PRD explains what should be built and why; a roadmap sequences the work.

In plain words
What is it for?
Use it to investigate a feature or product idea, write its PRD, create a roadmap, and prepare tasks that other planning and coordination tools can use.
Why use it?
It turns an early idea into written decisions and planned tasks before coding starts. Research and user interviews expose feasibility concerns, priorities, and trade-offs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to investigate a feature or product idea, write its PRD, create a roadmap, and prepare tasks that other planning and coordination tools can use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anilcancakir/claude-code/product
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 anilcancakir/claude-code --skill product
Clone the repo
git clone --depth 1 https://github.com/anilcancakir/claude-code

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.

agentmods badge for product

README.md
[![agentmods](https://agentmods.dev/badge/skills/anilcancakir/claude-code/product/github.svg)](https://agentmods.dev/skills/anilcancakir/claude-code/product)
Your own site
<a href="https://agentmods.dev/skills/anilcancakir/claude-code/product"><img src="https://agentmods.dev/badge/skills/anilcancakir/claude-code/product/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 product

Your own site · 80×15
<a href="https://agentmods.dev/skills/anilcancakir/claude-code/product"><img src="https://agentmods.dev/badge/skills/anilcancakir/claude-code/product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,142 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 $0.00049 $0.02142
Opus 5.5 $0.00020 $0.00857
Sonnet 5.5 $0.00010 $0.00428
Haiku 4.5 $0.00005 $0.00214

Measured 14d ago against content hash 8561e6fd7fe0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product 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 14d 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.

opencode/ac/skills/product/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ac/product

Acts as the product manager for one idea: reads what exists, checks feasibility with research agents, interviews the user on every decision, and writes a PRD and a roadmap that /ac/plan, /ac/coordinate and the working rules can build from. It writes documents only. The user decides which consumer runs next.

Request: the text of the user's request, the idea or feature typed after /ac/product.

Standing rules

These hold for the whole run and sit before the procedure so a compaction keeps them.

  • Writes only docs/prd/<slug>.md, docs/ROADMAP.md, .ac/product/<slug>/ (interview log and research) and .ac/tasks/<slug>-b<N>.yaml. No application code, no commit, no push.
  • Never start /ac/plan or /ac/coordinate. Print the handoff commands and stop.
  • Read before asking. Never ask what the repository, PROJECT.md or the research answers. Ask only a preference, a priority, a tradeoff or an outward action.
  • Interview with the question tool: rounds of up to three questions on related decisions, each option carrying the concrete artifact and your recommendation first, in the user's language. In a session without that tool, end on the open decision as the named blocker.
  • You do not decide alone that the interview is complete. It ends when the user confirms the playback in phase 6.
  • Research is sized to the work: a full pass for a new product, a light one for a feature in an existing project. Agents are ac/librarian (anything external) and ac/explore (this repository), never a general-purpose agent. Each brief names one angle, and all briefs of a phase go out in one message.
  • Interactive sessions run every subagent in the background (background: true). After a fan-out end the turn with a one-line status and continue on the notification; do not poll or sleep.
  • A failed subagent moves down its model chain; it is not a question. A subagent call that comes back with a provider failure (Subagent failed (sessionID: ...), a <subagent ... state="error"> message, an error such as provider.invalid-output) or with no answer at all (Subagent completed without a text response., an empty report) failed on its model, not on the work. Recover by continuing the same child, not by a fresh spawn: call the subagent tool again with the same agent, sessionID: "<the sessionID from the failure text>" and the prompt Your last turn stopped on a provider error. Continue the task from where you left off without repeating finished work., so the child keeps everything it already read and wrote (a fresh spawn repeats all of it). When it answered nothing or broke off mid-stream (provider.invalid-output, an empty report), continue it on the same model until it has run retryAttempts times there (from the ac_models tool, 3 in the shipped config), since that is often a one-off; a 5xx was already retried inside the call, so it goes straight on. Then call ac_fallback_next({ tier: "<the agent name without ac/>", tried: [<every model this call ran on>], session_id: "<the sessionID from the failure text>", status: <the HTTP status, when the error carried one> }), with tried starting at the agent's chain head from ac_models unless you set its model yourself, continue the same child with model: "<the returned value>" as well (the child switches to it and keeps its context), and give that model the same number of attempts. A rate limit was retried 10 times inside the call, and the plugin gives one model 30 across continuations: wait:<seconds> means that model has retries left, so wait that long with one shell sleep and continue the child on the same model with tried unchanged. The tool bounds those waits itself. Start a fresh spawn with the full prompt only when the continuation is refused (Subagent session not found, is not a child of the current session) or the child's context overflowed. Only none, every entry of the chain tried, is a failure to report or ask about. Asking the owner whether to retry wastes a round on a provider fault the chain exists to absorb.
  • A research report is a claim. Open what it cites before it changes a decision, and mark what you could not verify as unverified in the PRD.
  • Write the documents in the language the project's docs already use, English by default. Talk to the user in their language.

Read the full file on GitHub · 91 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 14d ago Changed · -2 lines · +22 tokens per session 8561e6fd7fe0
  2. 15d ago First seen · 93 lines · 27 tokens per session scan A fcdef0d2d98e

Subscribe to this mod's changes

product is a skill published in the GitHub repository anilcancakir/claude-code (4 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 2,142 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 2026-10-31.

Related

product compared with skills from other repositories

product next to 6 skills from other repositories
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plagiarism-checkerbitwize-music-studio/claude-ai-music-skillsSkill668todayCC0-1.0A35Claude Code
promote-ideabitwize-music-studio/claude-ai-music-skillsSkill668todayCC0-1.0A50Claude Code