Product Capability

Community

JasonxzWen

product-capability

Load when accepted product intent must become a concise, implementation-ready local capability specification with explicit constraints, non-goals, test seams, and unresolved decisions.

Overview

Publisher	JasonxzWen
Repository	`harness-hub`
Skill name	`product-capability`
Stars	71
Forks	0
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by JasonxzWen on GitHub. Read the source before you install it.

Installation

Install the Product Capability AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/product-capability .claude/skills/product-capability

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Capability in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Product Capability on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Product Capability is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Capability

Turn accepted product intent into a local engineering contract. This Skill specifies one capability; it does not own implementation, ticketing, or delivery.

Use grill-me first when consequential decisions remain. Use grill-with-docs when this work creates or changes a durable specification so the same decision graph is reconciled with repository evidence.

Inputs

Read only relevant sources:

accepted source facts from the user, current task, issues, PRDs, or roadmap notes
existing behavior, tests, schemas, interfaces, and durable docs
project instructions and ownership/security/rollout constraints

Do not invent product truth. Label an inference or unresolved decision instead of smoothing over missing evidence.

Specification

Write the smallest artifact that makes implementation unambiguous:

text
CAPABILITY
- actor, new behavior, and observable outcome

ACCEPTED SOURCE FACTS
- source anchor and fact

CONSTRAINTS
- invariants, ownership, trust, lifecycle, failure, migration, and rollout rules

INTERFACES
- inputs, outputs, states, errors, side effects, and compatibility boundaries

TEST SEAMS
- public behaviors and deterministic evidence that will prove acceptance

OUT OF SCOPE
- explicit non-goals and rejected expansion

OPEN DECISIONS
- unresolved choices that can still change implementation or acceptance

HANDOFF
- ready for implementation, needs alignment, or needs focused design review

Prefer updating the project's existing canonical spec or planning location. Do not create a new planning stack when the repository already owns one.

Quality Gate

The result is ready only when:

every required behavior traces to accepted source facts
boundaries and failure behavior are explicit
test seams demonstrate user/caller-visible outcomes rather than private structure
non-goals prevent likely scope drift
contradictions with current implementation are surfaced
a competent implementer can proceed without rediscovering hidden product decisions

Use to-tickets only when the accepted spec needs project-owned execution slices. Do not publish an issue, apply a label, or mutate a remote tracker from this Skill.

Frequently asked questions

What does the Product Capability AI skill do?

Load when accepted product intent must become a concise, implementation-ready local capability specification with explicit constraints, non-goals, test seams, and unresolved decisions.

Why use Product Capability on TypingMind?

Because you install it once and use it with any model. Product Capability is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Product Capability in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/product-capability. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Product Capability?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Product Capability?

As many as you like. As long as a model supports skills, you can use Product Capability with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Product Capability AI skill free?

Yes. It is published on GitHub by JasonxzWen under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Product Capability

Inputs

Specification

Quality Gate

Frequently asked questions

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