Reflecting On Sessions

OrganizationPopular

composio-community

reflecting-on-sessions

Use when completing a plan, finishing a development branch, wrapping up a session, or at any natural transition between work phases — reviews skill-bus telemetry to identify subscription gaps and suggest improvements

Overview

Publisher	composio-community
Repository	`awesome-claude-plugins`
Skill name	`reflecting-on-sessions`
Stars	2K
Forks	621
Bundled files	Instructions only
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 composio-community on GitHub. Read the source before you install it.

Installation

Install the Reflecting On Sessions 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.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/composio-community/awesome-claude-plugins/tree/master/skill-bus/skills/reflecting-on-sessions

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/composio-community/awesome-claude-plugins.git /tmp/awesome-claude-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-plugins/skill-bus/skills/reflecting-on-sessions .claude/skills/reflecting-on-sessions

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

Use it in TypingMind

Enable Reflecting On Sessions 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 Reflecting On Sessions 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 Reflecting On Sessions 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.

Reflecting on Sessions

Announce: "[skill-bus] Reflecting on this session's skill-bus activity."

When to Reflect

This skill is for natural transition moments:

After executing a plan (all tasks complete)
After finishing a development branch
Before session wrap-up or handover
At any natural pause between work phases
When asked about skill-bus effectiveness

Process

Step 1: Check telemetry status

bash
SB_CLI=$(ls ~/.claude/plugins/cache/*/skill-bus/*/lib/cli.py ~/.claude/plugins/repos/skill-bus/lib/cli.py 2>/dev/null | tail -1)
python3 "$SB_CLI" status --cwd "$PWD"

If telemetry is off, tell the user:

"Skill-bus telemetry is disabled for this project. To enable session reflection, add "telemetry": true to your skill-bus config. For full coverage visibility, also add "observeUnmatched": true."

Stop here if telemetry is off.

Step 2: Run stats for this session

bash
SB_CLI=$(ls ~/.claude/plugins/cache/*/skill-bus/*/lib/cli.py ~/.claude/plugins/repos/skill-bus/lib/cli.py 2>/dev/null | tail -1)
python3 "$SB_CLI" stats --cwd "$PWD"

Step 3: Interpret and present

Present the stats output to the user with brief interpretation:

If there are suggestions, highlight the top 1-2:

For uncovered skills: "I noticed [skill] ran N times without any subscription. Would you like to add one? I can run /skill-bus:add-sub."
For condition skips: "[insert] was skipped N times due to conditions. This might mean the condition is too restrictive for your current workflow."

If everything looks healthy (matches > 0, no suggestions):

"Skill-bus is working well this session — N skills intercepted, M inserts injected. No gaps detected."

If no telemetry data:

"No telemetry data for this project yet. Have you invoked any skills this session?"

Step 4: Offer next steps

If there are actionable suggestions:

"Would you like me to run /skill-bus:add-sub for any of these?"
"Run /skill-bus:report anytime to check coverage."

Frequently asked questions

What does the Reflecting On Sessions AI skill do?

Why use Reflecting On Sessions on TypingMind?

Because you install it once and use it with any model. Reflecting On Sessions 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 Reflecting On Sessions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/composio-community/awesome-claude-plugins/tree/master/skill-bus/skills/reflecting-on-sessions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reflecting On Sessions?

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 Reflecting On Sessions?

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

Is the Reflecting On Sessions AI skill free?

It is published on GitHub by composio-community. Check the repository for licensing terms. 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

Reflecting on Sessions

When to Reflect

Process

Step 1: Check telemetry status

Step 2: Run stats for this session

Step 3: Interpret and present

Step 4: Offer next steps

Frequently asked questions

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