Memory Ci Capture

OrganizationPopular

basicmachines-co

memory-ci-capture

Synthesize GitHub delivery context into a concise Basic Memory project update. Use in CI after `bm ci collect` prepares a ProjectUpdateContext; return only structured AgentSynthesis JSON for `bm ci publish`.

Overview

Publisher	basicmachines-co
Repository	`basic-memory`
Skill name	`memory-ci-capture`
Stars	4K
Forks	283
Bundled files	Instructions only
License	AGPL-3.0
Links	Skill source Repository Homepage

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 basicmachines-co on GitHub. Read the source before you install it.

Installation

Install the Memory Ci Capture 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/basicmachines-co/basic-memory.git /tmp/basic-memory
mkdir -p .claude/skills
cp -r /tmp/basic-memory/skills/memory-ci-capture .claude/skills/memory-ci-capture

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

Use it in TypingMind

Enable Memory Ci 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 Memory Ci 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 Memory Ci 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.

Memory CI Capture

Turn a meaningful GitHub delivery moment into project memory. GitHub records the mechanics. Basic Memory remembers what changed and why.

Inputs

Read the ProjectUpdateContext JSON produced by bm ci collect at .github/basic-memory/project-update-context.json. Treat it as the immutable source of truth for repository, event type, PR number, workflow run, SHA, source URL, timestamps, and deployment environment.

Do not invent tests, deploy checks, linked issues, product impact, or decisions. If evidence is absent, say so briefly in verification or leave the field empty.

Output

Return only JSON matching the AgentSynthesis shape:

json
{
  "summary": "What changed.",
  "why_it_matters": "Why this update matters for future humans and agents.",
  "user_facing_changes": [],
  "internal_changes": [],
  "verification": [],
  "follow_ups": [],
  "decision_candidates": [],
  "task_candidates": []
}

Synthesis Rules

Prefer a short explanation over a commit-by-commit changelog.
Preserve intent, changed behavior, source links, verification evidence present in the context, and concrete follow-ups.
Put explicit product or architecture decisions in decision_candidates only when the source context clearly contains them.
Put future work in task_candidates only when it is concrete enough to act on.
Keep the tone factual and useful. This is project memory, not marketing copy.

Event Guidance

For merged pull requests, focus on why the PR existed, what area changed, what issues it advanced or closed, and what verification evidence appears in the context.

For production deploys, focus on what reached production, the deployed SHA, environment, workflow run, and verification evidence. Do not overclaim success beyond the workflow and source facts.

Frequently asked questions

What does the Memory Ci Capture AI skill do?

Why use Memory Ci Capture on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-ci-capture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memory Ci 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 Memory Ci Capture?

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

Is the Memory Ci Capture AI skill free?

Yes. It is published on GitHub by basicmachines-co under the AGPL-3.0 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Memory CI Capture

Inputs

Output

Synthesis Rules

Event Guidance

Frequently asked questions

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