Agent skill

Factory Product

by tikalk in tikalk/adlc-team-skills

A skill your agent uses when orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate or verify PRD.md.

MITAuto-check passedProduct & Project Management

Install Factory Product

skills CLI
$ npx skills add tikalk/adlc-team-skills --skill factory-product -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tikalk/adlc-team-skills factory-product --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/factory/factory-product .claude/skills/factory-product && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
factory-product
GitHub stars
141
Token cost
~914 tokens
SKILL.md length
405 words
Files
2
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate or verify PRD.md.

  • Works in 4 steps: specify (generate phase) -> Invoke… → clarify⭐ (clarify phase) -> Invoke… → implement (build phase) -> Invoke… → …
  • Orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate
  • SKILL.md covers What this skill does, When to use, Lifecycle DAG & Step Resolution and Shared Executor Overrides
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Factory Product is an agent skill from tikalk/adlc-team-skills. Use when orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate or verify PRD.md.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `workflow.yml`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and… The licence is MIT.

When your agent uses it

  • Orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate
  • Tasks that involve PRD writing

Example prompts

  • “/factory-product”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. specify (generate phase) -> Invoke product-specify to collaboratively capture PDR drafts in .adlc/drafts/pdr/.
  2. clarify⭐ (clarify phase) -> Invoke product-clarify to run interactive quality checks and mark PDRs Accepted (human sign-off gate).
  3. implement (build phase) -> Invoke product-implement to compile accepted PDRs into docs/adlc/product/PRD.md and promote them to…
  4. analyze (analyze phase) -> Invoke product-analyze to verify PRD/PDR consistency and output a severity-ranked report.

What it can do on your machine

Read from SKILL.md and the folder at commit 4c4ad44. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Factory Product loads about 914 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 405 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~914

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tikalk/adlc-team-skills at commit 4c4ad44, republished under its MIT licence (© tikalk). 405 words, ~914 tokens.

Download SKILL.mdSave it as .claude/skills/factory-product/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
factory-product
description
Use when orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate or verify PRD.md.
disable-model-invocation
true

factory-product

What this skill does

factory-product orchestrates the product-decisions lifecycle. It coordinates individual product-related skills (product-init, product-specify, product-clarify, product-implement, product-analyze) to maintain a consistent PRD.md at docs/adlc/product/PRD.md (ADR-401).

It operates as a Kind-A DAG orchestrator in alignment with the shared executor engine contract in factory-mission/references/executor.md.


When to use

  • You want to bootstrap, refine, or analyze a product's requirements and decisions (PDRs) end-to-end.
  • You want a guided, accept-gated, and verified product definition process with a resume checkpoint.

When NOT to use:

  • For software implementation task execution (use factory-mission instead).
  • For architecture decision records (use factory-architect instead).

Lifecycle DAG & Step Resolution

factory-product implements a fixed named-skill DAG (fixed step resolution):

Greenfield Route (default on empty project)
  1. specify (generate phase) -> Invoke product-specify to collaboratively capture PDR drafts in .adlc/drafts/pdr/.
  2. clarify⭐ (clarify phase) -> Invoke product-clarify to run interactive quality checks and mark PDRs Accepted (human sign-off gate).
  3. implement (build phase) -> Invoke product-implement to compile accepted PDRs into docs/adlc/product/PRD.md and promote them to docs/adlc/memory/pdr/.
  4. analyze (analyze phase) -> Invoke product-analyze to verify PRD/PDR consistency and output a severity-ranked report.
Brownfield Route (default if code exists but no PDRs)
  1. init (generate phase) -> Invoke product-init to reverse-engineer draft PDRs from the existing codebase.
  2. clarify⭐ → implement → analyze (same as Greenfield).
Refresh Route (default if PRD.md and memory PDRs already exist)
  1. analyze (analyze phase) -> Run product-analyze first to detect drift.
  2. clarify⭐ → implement → analyze (drift-correction cycle).

Show full SKILL.md (172 more words)Show less

Shared Executor Overrides

factory-product overrides the shared executor engine primitives as follows:

  1. Publish Target: Fixed to local. Outputs are written to docs/adlc/memory/pdr/ and docs/adlc/product/PRD.md. If tracker-integrated, a tracker completion summary comment is also posted.
  2. Output Types: Steps use the following output_type assignments:
    • specify/init → draft (PDR drafts stay in .adlc/drafts/pdr/, not published to comment bus)
    • clarify⭐ → decision (accepted/rejected PDR list published to comment bus)
    • implement → artifact-ref (PRD.md path reference published, content stays on disk)
    • analyze → findings (severity-ranked consistency report published to comment bus)
  3. Correction Loop: If analyze returns CRITICAL or HIGH consistency errors, the executor routes back to clarify with the analyze marker in reads_from. clarify reads the findings from the PR/MR/issue comment bus (or local fallback). This loop is bounded by max_corrections (default 2); if exceeded, the orchestrator halts for human review.
  4. Supervision Default: hybrid. A human gate is hard-enforced at clarify⭐ (for PDR approvals) and at final PRD.md review.
  5. Pre-flight Check: Verifies that the product-* lifecycle skills are installed in the workspace before beginning Phase 0.

© tikalk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/factory/factory-product of tikalk/adlc-team-skills.

  • SKILL.md
  • workflow.yml

Open the folder on GitHubat commit 4c4ad44

Compare with similar skills

Factory Product next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Factory Product compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory Product this skilltikalk/adlc-team-skills141—~914Automated safety check: PassMIT
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Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT
Ralph Tui Create JSONsubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Factory Product

What does Factory Product do?

A skill your agent uses when orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate or verify PRD.md. Factory Product is an agent skill from tikalk/adlc-team-skills.md.

When should I use Factory Product?

Factory Product fits situations like: orchestrating a product lifecycle (specify/init → clarify → implement → analyze) to generate; tasks that involve PRD writing.

How do I install Factory Product in Claude Code?

Run `npx skills add tikalk/adlc-team-skills --skill factory-product -a claude-code`. Or copy the skill folder (skills/factory/factory-product in tikalk/adlc-team-skills) into .claude/skills/factory-product in your project. Claude Code loads it when a task matches its description.

How do I install Factory Product in Codex?

Run `npx skills add tikalk/adlc-team-skills --skill factory-product -a codex`. Or copy the skill folder (skills/factory/factory-product in tikalk/adlc-team-skills) into .agents/skills/factory-product in your project. Codex loads it when a task matches its description.

Can I use Factory Product in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tikalk/adlc-team-skills --skill factory-product -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factory-product, .gemini/skills/factory-product, .github/skills/factory-product and .opencode/skills/factory-product in your project.

What does Factory Product need to run?

SKILL.md names no scripts, command-line tools or credentials: Factory Product is instructions for the agent only.

Does Factory Product access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Factory Product safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Factory Product use?

Factory Product is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Factory Product use?

About 914 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Factory Product?

Skills that share tags, products or a category with Factory Product: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory Product?

tikalk (a GitHub organization) maintains it in tikalk/adlc-team-skills, which has 141 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 8, 2026.

Source: tikalk/adlc-team-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.