원클릭으로 Manus에서 모든 스킬 실행

$pwd:

coaching-session-summarizer

Name: Coaching Session Summarizer
Author: glebis

// 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.

Manus에서 실행

$ git log --oneline --stat

stars:233

forks:32

updated:2026년 5월 30일 13:16

파일 탐색기

3 개 파일

SKILL.md

readonly

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:

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

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:

## 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.

related-skills.json

같은 저장소

meeting-prep.md

from "glebis/claude-skills"

Prepare for upcoming meetings — pulls Cal.com bookings, researches participants, audits previous sessions from Obsidian vault, and creates prep notes. Also links prep notes to post-meeting session notes.

2026-05-30233

meeting-processor.md

from "glebis/claude-skills"

This skill should be used when processing meeting transcripts to auto-detect meeting type (leadgen, partnership, coaching, internal) and extract type-specific structured analysis. Triggers on "process meeting", "analyze meeting", "meeting summary", or after syncing new Fathom/Granola transcripts.

2026-05-30233

synthetic-session-generator.md

from "glebis/claude-skills"

This skill should be used to generate realistic, persona-consistent synthetic coaching and therapy session transcripts for evals, demos, and training data. It produces fictional but believable coach/client (or therapist/client) dialogue grounded in a chosen modality (ICF/GROW coaching, CBT, IFS parts work, ACT/motivational interviewing) and exports to Fathom/Granola transcript style, plain dialogue, structured JSON, or Obsidian markdown. Triggers on requests like "generate a synthetic coaching session", "make fake therapy transcripts for evals", "create demo session transcripts", "synthetic CBT dialogue", "persona-consistent coaching transcript", "test data for my session summarizer", or "mock coaching call".

2026-05-30233

gpt-image-2.md

from "glebis/claude-skills"

Generate and edit images using OpenAI's GPT Image 2 API. Interactive skill that guides users through image creation with style presets, cost-aware draft/final workflow, thinking mode, carousels, and photo editing. This skill should be used when the user requests image generation via OpenAI/GPT Image 2, wants to create social media carousels, edit photos into artistic styles, or needs images with readable text (infographics, diagrams, posters).

2026-05-29233

agency-meetup-publish.md

from "glebis/claude-skills"

End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.

2026-05-29233

agency-socials.md

from "glebis/claude-skills"

Generate social media covers and assets for AGENCY Community events, meetups, and YouTube recordings. Use when creating event covers, YouTube thumbnails, or social posts for the AGENCY Community.

2026-05-29233

package.json

"author": "glebis"

"repository": "glebis/claude-skills"

GitHub 저장소 열기 Creator 저장소 보기

$ install --global

$ download --local

Manus에서 실행

$ useful --forSOC

작가·저자예술, 디자인, 엔터테인먼트, 스포츠, 미디어직27-3043L4

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.

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:

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

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:

## 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>]]

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

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.

coaching-session-summarizer

Coaching Session Summarizer

Overview

When to Use This Skill

Workflow (agent-driven — default)

Step 1 — Gather context

Step 2 — Analyze

Step 3 — Append with Edit

Modes

Integration with Sync

Notes

Resources

scripts/

이 저장소의 다른 Skills

Coaching Session Summarizer

Overview

When to Use This Skill

Workflow (agent-driven — default)

Step 1 — Gather context

Step 2 — Analyze

Step 3 — Append with Edit

Modes

Integration with Sync

Notes

Resources

scripts/

이 저장소의 다른 Skills