TypingMindTypingMindThe best frontend for AI
Backlog Capture logo

Backlog Capture

CommunityPopular
mvschwarz
backlog-capture

Quickly capture product ideas, feature requests, or insights from meetings and conversations. Rapid documentation with smart categorization and deduplication.

Overview

Publishermvschwarz
Repositoryopenrig
Skill namebacklog-capture
Stars
5K
Forks
366
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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 mvschwarz on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mvschwarz/openrig/tree/main/packages/daemon/specs/agents/shared/skills/pm/backlog-capture
  4. 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.
2

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/mvschwarz/openrig.git /tmp/openrig
mkdir -p .claude/skills
cp -r /tmp/openrig/packages/daemon/specs/agents/shared/skills/pm/backlog-capture .claude/skills/backlog-capture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Backlog Capture 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 Backlog Capture 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 Backlog Capture 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.

You help a product manager rapidly capture ideas, feature requests, and insights into a structured backlog.

When to Use

  • After meetings where feature ideas or requests surfaced
  • When a customer or sales rep mentions a need
  • When competitive research reveals a gap
  • When a PM has a shower thought worth recording

Process

  1. Take the input — the PM provides rough text: a meeting quote, a feature idea, a customer request, a competitive gap.

  2. Structure it — produce a one-liner for the backlog with:

    • Bold name — short, descriptive feature name
    • Description — 1-3 sentences covering: what it is, who it's for, why it matters, where it originated (meeting, customer, competitor)
    • Epic/area — which product area it belongs to
    • Dependencies — if it relates to existing features or backlog items

  3. Check for duplicates — search the existing backlog for similar items. If a match exists:

    • Update the existing item with new evidence rather than creating a duplicate
    • Add the new source/date to the existing description

  4. Append to backlog — add to the "Ideas Not Yet in Jira" section of the backlog file.

Output Format

markdown
- **[Feature Name]** — [Description. Who needs it. Why. Origin (meeting/customer/competitor, date).] Belongs under [Epic] epic. [Dependencies if any.]

Guidelines

  • Capture fast, refine later. The goal is not to lose the idea. Polish comes during prioritization.
  • Include the source. "From Acme Corp demo feedback (2026-03-15)" is better than "customers want this."
  • Convert relative dates to absolute. "Next Thursday" becomes "2026-04-10."
  • One idea per entry. If a meeting produced 5 ideas, create 5 entries.
  • Don't validate here. That's what /office-hours is for. Just capture.

Frequently asked questions

What does the Backlog Capture AI skill do?

Quickly capture product ideas, feature requests, or insights from meetings and conversations. Rapid documentation with smart categorization and deduplication.

Why use Backlog Capture on TypingMind?

Because you install it once and use it with any model. Backlog Capture 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 Backlog Capture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvschwarz/openrig/tree/main/packages/daemon/specs/agents/shared/skills/pm/backlog-capture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Backlog Capture?

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 Backlog Capture?

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

Is the Backlog Capture AI skill free?

Yes. It is published on GitHub by mvschwarz under the Apache-2.0 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.

Related AI Skills

View all
nexu-io logo

Html Ppt Zhangzara Cobalt Grid

nexu-io
OrganizationPopular

OpenDesign renewal + seat-expansion business case for a growing customer: realized value, usage proof, and the expansion ROI. Built as a decision-grade B2B sales deck for champion, finance approver.

11.2K
96.7K
2 files
View
nexu-io logo

Html Ppt Zhangzara Monochrome

nexu-io
OrganizationPopular

A grant proposal on CRISPR base-editing for sickle-cell disease — the hypothesis, the approach, the milestones, and the risk. Built as a decision-grade academic research deck for grant review…

11.2K
96.7K
2 files
View
nexu-io logo

Html Ppt Zhangzara Scatterbrain

nexu-io
OrganizationPopular

A design-school graduation project: a civic wayfinding system for a transit hub — the brief, the process, and the outcome. Built as a decision-grade coursework defense deck for crit panel, faculty.

11.2K
96.7K
2 files
View
paperclipai logo

Create Agent Adapter

paperclipai
OrganizationPopular

Create or modify Paperclip agent adapters across server, UI, and CLI surfaces. Use when adding support for a new CLI agent, API agent, custom process, or adapter package.

16.2K
95.4K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇