Agent skill

Coaching Session Summarizer

by glebis in glebis/claude-skills

This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync.

MITAuto-check passedAgent Workflows

Install Coaching Session Summarizer

skills CLI
$ npx skills add glebis/claude-skills --skill coaching-session-summarizer -a claude-code

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

GitHub CLI
$ gh skill install glebis/claude-skills coaching-session-summarizer --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/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/coaching-session-summarizer .claude/skills/coaching-session-summarizer && 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
coaching-session-summarizer
GitHub stars
389
Token cost
~1.3k tokens
SKILL.md length
568 words
Files
3 (incl. scripts)
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync.

  • Works in 3 steps: Gather context → Analyze → Append with Edit
  • Tasks that involve Session handoff
  • SKILL.md covers Overview, When to Use This Skill, Workflow (agent-driven —… and Modes, plus 3 more sections
  • Runs Python scripts from its folder; calls python3; needs ANTHROPIC_API_KEY

What it does

Coaching Session Summarizer is an agent skill from glebis/claude-skills. This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync. The agent analyzes the transcript itself (no API key, runs on the subscription) and appends key insights, decisions, action items, and trail connections. Supports quick extraction or deep analysis with cross-session pattern detection.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/gather_context.py` and `scripts/summarize_session.py`).

It sits in Agent Workflows, covering Session handoff. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • Tasks that involve Session handoff

Example prompts

  • “/coaching-session-summarizer”

Requirements

  • Python 3
  • A credential in ANTHROPIC_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Gather context
  2. Analyze
  3. Append with Edit

What it can do on your machine

Read from SKILL.md and the folder at commit 7524dff. 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

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 these keys or tokens, usually read from environment variables:

    • ANTHROPIC_API_KEY

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

Context cost

Coaching Session Summarizer loads about 1.3k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 568 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 7524dff, republished under its MIT licence (© glebis). 568 words, ~1,329 tokens.

Download SKILL.mdSave it as .claude/skills/coaching-session-summarizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
coaching-session-summarizer
description
This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync. The agent analyzes the transcript itself (no API key, runs on the subscription) and appends key insights, decisions, action items, and trail connections. Supports quick extraction or deep analysis with cross-session pattern detection.

Coaching Session Summarizer

Overview

Analyzes a coaching/therapy session transcript and appends a structured summary (key insights, decisions, action items, deep analysis, connected trails) to the note.

The agent (Claude Code) performs the analysis directly — reading the transcript and writing the summary in this session. There is no Anthropic API call and no billing; it runs entirely on the active subscription. A legacy API-based script is kept only as a headless fallback (see bottom).

When to Use This Skill

  • A new Fathom/Granola transcript was synced to the vault (coaching or therapy)
  • User asks to summarize/analyze a session (/summarize-session [file] or similar)
  • After calendar-sync or a Granola export, when a new *-coaching.md, *-therapy.md, or *-session.md file appears — offer to summarize it

Workflow (agent-driven — default)

Do this in-session with native tools. No API key required.

Step 1 — Gather context

Run the deterministic helper to get the transcript text, previous sessions, and the trail list in one shot:

bash
python3 ~/.claude/skills/coaching-session-summarizer/scripts/gather_context.py \
  <transcript-file> --vault ~/Brains/brain

It prints:

  • Previous sessions with the same participant (paths) — Read these only in deep mode, for cross-session pattern detection
  • Available trails — pick 2–4 most relevant to link
  • Session content — the summary + transcript to analyze (any prior AI-Generated Summary is stripped so re-runs stay clean)

Pass --participant <name-slug> if the filename doesn't encode the person (e.g. Granola exports titled by topic): --participant gleb-kalinin.

Step 2 — Analyze

Read the session content and extract, in the analytical voice of a session analyst (objective, using the speaker's authentic language where it matters):

  • Key Insights — 3–5 main realizations / breakthroughs / observations
  • Decisions Made — concrete choices or commitments
  • Action Items — specific next steps; prefix time-sensitive ones with [URGENT] and scheduling items with [SCHEDULING]
  • Session Themes — 2–3 recurring topics or patterns

Deep mode (default for therapy and milestone sessions) — also Read the previous sessions and add:

  • Pattern Detection — themes recurring across sessions
  • Progress Assessment — movement on earlier commitments
  • Energy/Motivation Markers — shifts in energy, resistance, affect
  • Potential Obstacles — what might block progress
Show full SKILL.md (251 more words)Show less
Step 3 — Append with Edit

Append the summary to the end of the transcript file using Edit (never overwrite existing content). Match this exact structure:

markdown
## AI-Generated Summary

*Generated: YYYY-MM-DD*

### Key Insights
- ...

### Decisions Made
- ...

### Action Items
- [URGENT] ...
- ...

### Session Themes
- ...

## Deep Analysis

- **Pattern Detection**: ...
- **Progress Assessment**: ...
- **Energy/Motivation Markers**: ...
- **Potential Obstacles**: ...

## Connected Trails

- [[Trails/Trail - <Name>|<Name>]]
- [[Trails/Trail - <Name>|<Name>]]

Use the current date (date +%Y-%m-%d) in the Generated line. Omit the Deep Analysis section in quick mode. Verify trail link names against the printed trail list — case and exact wording matter for Obsidian links.

Modes

  • quick — Key Insights, Decisions, Action Items, Themes. Skip Deep Analysis and previous-session reads.
  • deep (recommended for therapy / milestones) — everything, including reading previous sessions for pattern detection.

Integration with Sync

After calendar-sync or a Granola/Fathom export, check for new session files (*-coaching.md, *-therapy.md, *-session.md). If one appears, offer: "New session detected — summarize now?" Default to deep mode for therapy.

Notes

  • Preserves the original transcript intact; the summary is always appended.
  • Trail linking requires the Trails/ directory in the vault root.
  • Cross-session comparison works best with consistent naming: YYYYMMDD-name-coaching.md / YYYYMMDD-name-therapy.md.
  • Re-running is safe: gather_context.py strips any prior AI-Generated Summary before printing, so the agent analyzes only the raw session. (Delete the old ## AI-Generated Summary block from the file before re-appending if you want to replace rather than stack summaries.)

Resources

scripts/
  • gather_context.py — (default path) deterministic context gatherer, no API. Prints transcript text + previous sessions + trail list for the agent to analyze in-session.
  • summarize_session.py — legacy / headless fallback. Calls the Anthropic API directly (model via SUMMARIZER_MODEL, default claude-sonnet-4-6) and bills a funded ANTHROPIC_API_KEY. Use only when no interactive agent is available (e.g. cron). Exits with a clear message if the key has no credit.

© glebis, 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 2 other files (scripts) in coaching-session-summarizer of glebis/claude-skills.

  • SKILL.md
  • scripts/gather_context.py
  • scripts/summarize_session.py

Open the folder on GitHubat commit 7524dff

Compare with similar skills

Coaching Session Summarizer 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.

Coaching Session Summarizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Coaching Session Summarizer this skillglebis/claude-skills389—~1.3kAutomated safety check: PassMIT
Orca CLIstablyai/orca87k2 repos~593Automated safety check: PassMIT
Coding Agent Session Findercode-yeongyu/oh-my-openagent70k1 repos~2.8kAutomated safety check: PassCustom licence
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Session History Searchslopus/happy24k—~3.1kAutomated safety check: PassMIT
Paseo Agent Handoffgetpaseo/paseo20k1 repos~606Automated safety check: PassCustom licence

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Categories

Questions about Coaching Session Summarizer

What does Coaching Session Summarizer do?

This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync. Coaching Session Summarizer is an agent skill from glebis/claude-skills. This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync.

When should I use Coaching Session Summarizer?

Coaching Session Summarizer fits situations like: tasks that involve Session handoff.

How do I install Coaching Session Summarizer in Claude Code?

Run `npx skills add glebis/claude-skills --skill coaching-session-summarizer -a claude-code`. Or copy the skill folder (coaching-session-summarizer in glebis/claude-skills) into .claude/skills/coaching-session-summarizer in your project. Claude Code loads it when a task matches its description.

How do I install Coaching Session Summarizer in Codex?

Run `npx skills add glebis/claude-skills --skill coaching-session-summarizer -a codex`. Or copy the skill folder (coaching-session-summarizer in glebis/claude-skills) into .agents/skills/coaching-session-summarizer in your project. Codex loads it when a task matches its description.

Can I use Coaching Session Summarizer 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 glebis/claude-skills --skill coaching-session-summarizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coaching-session-summarizer, .gemini/skills/coaching-session-summarizer, .github/skills/coaching-session-summarizer and .opencode/skills/coaching-session-summarizer in your project.

What does Coaching Session Summarizer need to run?

Going by SKILL.md and its folder, Coaching Session Summarizer needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named ANTHROPIC_API_KEY. Our summary lists: Python 3; A credential in ANTHROPIC_API_KEY.

Does Coaching Session Summarizer 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 Coaching Session Summarizer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Coaching Session Summarizer use?

Coaching Session Summarizer 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 Coaching Session Summarizer use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Coaching Session Summarizer?

Skills that share tags, products or a category with Coaching Session Summarizer: Orca CLI (stablyai/orca, 87k stars), Coding Agent Session Finder (code-yeongyu/oh-my-openagent, 70k stars), Beads Task Memory (gastownhall/beads, 28k stars) and Session History Search (slopus/happy, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Coaching Session Summarizer?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 389 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 26, 2026.

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