Agent skill

Minutes Debrief

by silverstein in silverstein/minutes

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution.

MITAuto-check passed

Install Minutes Debrief

skills CLI
$ npx skills add silverstein/minutes --skill minutes-debrief -a claude-code

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

GitHub CLI
$ gh skill install silverstein/minutes minutes-debrief --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/silverstein/minutes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/minutes-debrief .claude/skills/minutes-debrief && 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
minutes-debrief
GitHub stars
1.5k
Token cost
~2.6k tokens
SKILL.md length
1,186 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution.

  • Works in 5 steps: Find the most recent recording → Read the transcript → Check for matching prep → …
  • The user says debrief
  • SKILL.md covers Skill Path, How it works and Gotchas
  • Calls node and git

What it does

Minutes Debrief is an agent skill from silverstein/minutes. Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: opencode

The repository describes itself as: Open-source, local-first Granola/Otter alternative that Claude Code, Codex, Cursor, and any MCP client can query. Meetings, calls, and voice memos transcribed on-device into… The licence is MIT.

When your agent uses it

  • The user says debrief
  • What just happened in that meeting
  • What did we decide
  • Debrief that call

Example prompts

  • “debrief”
  • “what just happened in that meeting”
  • “what did we decide”
  • “/minutes-debrief”

Requirements

  • Compatibility (from SKILL.md): opencode

Workflow steps

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

  1. Find the most recent recording
  2. Read the transcript
  3. Check for matching prep
  4. Decision evolution check
  5. Closing ritual

What it can do on your machine

Read from SKILL.md and the folder at commit d3285c7. 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

    Shell commands in SKILL.md call:

    • node
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

  • Compatibility

    opencode

    From compatibility in the SKILL.md frontmatter.

Context cost

Minutes Debrief loads about 2.6k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 1,186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from silverstein/minutes at commit d3285c7, republished under its MIT licence (© silverstein). 1,186 words, ~2,574 tokens.

Download SKILL.mdSave it as .claude/skills/minutes-debrief/SKILL.md (or your agent's skills folder).
name
minutes-debrief
description
Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.
compatibility
opencode

Skill Path

Before running helper scripts or opening bundled references, set:

bash
export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.opencode/skills"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-debrief"

/minutes-debrief

Post-meeting analysis that reads your latest recording, compares what happened to what you planned, and surfaces decision evolution — so nothing falls through the cracks.

How it works

This is a multi-phase interactive flow. It connects to /minutes-prep when a prep file exists, creating a before→after loop.

Phase 1: Find the most recent recording
bash
minutes list --limit 5

Pick the most recent recording. If there are multiple from today, ask via AskUserQuestion: "You have [N] recordings today. Which one are you debriefing?" with options listing the titles.

If no recent recording exists: Say: "I don't see any recent recordings. Did you run minutes record and minutes stop? If the recording is from a specific meeting, tell me the title or date and I'll find it."

Don't proceed without a recording to debrief.

Phase 2: Read the transcript

Run minutes get "<exact path>" --json, require exit status 0, and use only the returned transcript and frontmatter. Never reopen the list path with the host Read tool. Extract:

  • Decisions made (from decisions: frontmatter or ## Decisions section)
  • Action items created (from action_items: frontmatter or ## Action Items section)
  • Key discussion points (from ## Summary or the transcript itself)
  • Attendees (from attendees: frontmatter)
Phase 2a: No-capture sensitive meetings (capture: none)

If the authorized frontmatter says capture: none, there is no transcript by design: the meeting was designated sensitive and the recorder never ran. The debrief IS the record. Switch to debrief-from-memory mode:

  1. Use the already-authorized response: the ## Markers section (timestamped notes typed during the meeting) and the frontmatter (title, date, duration, debrief: state).
  2. Ask the user to recount the meeting: who was there, what was discussed, decisions, action items. Use the markers as memory joggers.
  3. Present the account in the conversation, but do not edit the meeting path through a host filesystem tool. Until Minutes exposes a native authorized debrief-update command, ask the user to persist it in the desktop app or a human-operated CLI flow.
  4. If the user says it was a test or accidental trigger, report that conclusion without mutating the source path from this skill.
  5. Sensitivity is binding, not advisory. A restricted meeting is not available to this agent skill by default. Do not bypass a failed native read; direct the user to a human-operated Minutes app/CLI flow with the explicit audited restricted-access controls.

Skip Phases 2 and 2b (there is no transcript and no speaker attribution); continue with prep matching and the closing ritual as normal.

Phase 2b: Check speaker attributions

If the meeting has a speaker_map: field in frontmatter, check the confidence levels:

  • All High confidence: Speakers are confirmed — use real names throughout the debrief.
  • Any Medium confidence: Note this — "Speakers were auto-identified (medium confidence). If the names look wrong, run: minutes confirm --meeting <path>"
  • No speaker_map but has SPEAKER_X labels: The meeting has diarization but no attribution — suggest: "I see anonymous speaker labels. If you know who was in this meeting, run minutes confirm --meeting <path> to tag them."

This nudge is brief (one line) — don't make it a blocker.

Phase 3: Check for matching prep

Look for a prep file that matches this meeting:

bash
ls ~/.minutes/preps/ 2>/dev/null

Match logic:

  1. Find .prep.md files from today or yesterday (within 48 hours)
  2. Read each file's person: frontmatter field
  3. Compare against the recording's attendees: list — match on first name, but check learned aliases before deciding there is no match:
    bash
    node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" aliases "<attendee-or-person>" 2>/dev/null
    Treat all returned variants as equivalent during prep-file matching.
  4. If multiple preps match → AskUserQuestion to pick which one
  5. If no prep matches → standalone debrief (skip to Phase 4b)

Phase 4a: Prep-connected debrief (when a matching prep exists)

Read the prep file. Pull out the goal: field. Ask via AskUserQuestion:

"You went into this meeting wanting to: [goal from prep]

Did you accomplish it?"

Options:

  • A) Yes — fully resolved → Mark as complete. Summarize what was decided.
  • B) Partially — some progress → Ask: "What's still open?" Capture the remaining items.
  • C) No — it didn't come up or it changed → Ask: "What happened instead?" Capture the pivot.
  • D) The goal changed during the meeting → Ask: "What's the new direction?"

Then produce the debrief summary with the prep comparison:

Before writing the output, check for a learned debrief presentation preference:

bash
node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" get-presentation-focus debrief

If the result is:

  • decisions-first → put Decisions before Action Items and Relationship Update
  • actions-first → put Action Items first, then Decisions, then Relationship Update
  • relationship-first → put Relationship Update first, then Decisions, then Action Items

If there is no preference, keep the default order below.

## Debrief: [Meeting Title]

### Prep vs Reality
- **Goal:** [from prep]
- **Outcome:** [resolved / partially / pivoted]
- **What changed:** [if anything]

### Decisions
- [list each decision]

### Action Items
- [list with assignee and due date]

### Relationship Update
- [any notable changes in tone, new topics, shifted priorities]

Phase 4b: Standalone debrief (no matching prep)

Produce a straightforward debrief:

Before deciding the section order, check:

bash
node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" get-presentation-focus debrief

Apply the same ordering rules if a preference exists; otherwise keep the default order below.

## Debrief: [Meeting Title]

### Key Decisions
- [list each decision]

### Action Items
- [list with assignee and due date]

### Notable Discussion Points
- [2-3 most significant things discussed]
Show full SKILL.md (450 more words)Show less
Phase 5: Decision evolution check

Search for prior decisions on the same topics discussed in this meeting:

bash
minutes search "<topic>" --limit 10 --since <30-days-ago>

For each topic that has a decision in this meeting AND a decision in a prior meeting:

  • Compare the decisions
  • If they differ → surface the evolution:

"Decision evolution — pricing:

  • Mar 3 (with Case): $599
  • Mar 10 (with Alex): annual billing
  • Today: monthly billing
  • Status: VOLATILE (3 changes in 14 days)

Is this settled now, or still in flux?"

Classification:

  • STABLE — Same decision held across 2+ meetings
  • VOLATILE — Decision changed 2+ times in 14 days
  • CONFLICTING — Two different active decisions exist on the same topic
  • NEW — First decision on this topic
Phase 6: Closing ritual

End with three beats:

  1. Signal reflection — Quote something specific from the meeting or the debrief conversation. "You said '[quote]' — that sounds like the decision is locked."

  2. Assignment — One concrete follow-up action. "Send Alex the pricing doc tonight while the conversation is fresh." "Update the roadmap doc with today's Q2 timeline change."

  3. Next skill nudge — "At the end of the week, run /minutes-weekly to see how all your meetings connect and what still needs attention."

Gotchas

  • Record explicit presentation preferences when the user states them. If the user says "show action items first", "lead with decisions", or "start with the relationship read", persist it:
    bash
    node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" set-presentation-focus debrief actions-first "User explicitly prefers action items first"
    node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" set-presentation-focus debrief decisions-first "User explicitly prefers decisions first"
    node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" set-presentation-focus debrief relationship-first "User explicitly prefers relationship updates first"
  • Don't hallucinate if there's no recording — If minutes list returns nothing, say so. Don't invent a debrief.
  • Stale preps (>48h) are ignored — If the prep file is more than 48 hours old, treat it as no-prep mode. The prep was for a different context.
  • First-name matching for prep files — The prep file slug uses first name only (sarah.prep.md). Match against attendee first names in the recording frontmatter. "Alex C." matches "sarah".
  • Teach Minutes aliases when the user corrects matching. If the user says "That prep was for Sarah Chen, not just Sarah" or clarifies that two names refer to the same person, persist it:
    bash
    node "$MINUTES_SKILLS_ROOT/_runtime/hooks/lib/minutes-learn-cli.mjs" set-alias "Sarah Chen" "Sarah" "User corrected prep/debrief matching"
  • Multiple recordings today — Ask which one. Don't assume the most recent is the right one.
  • Recordings without frontmatter — Some recordings only have raw transcripts (no summary, no decisions section). Work with what you have — extract decisions and action items from the transcript text yourself.
  • Decision evolution can span weeks — Search the last 30 days for related decisions, not just this week.
  • Don't be preachy about decision changes — Decisions change for good reasons. Surface the evolution factually. "Here's what shifted" not "You keep changing your mind."

© silverstein, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .opencode/skills/minutes-debrief of silverstein/minutes.

Open the folder on GitHubat commit d3285c7

Compare with similar skills

Minutes Debrief 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.

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Meetingsalirezarezvani/claude-skills28k—~1.5kAutomated safety check: PassMIT
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Meeting Minutes Takerdaymade/claude-code-skills1.4k—~9.8kAutomated safety check: PassMIT

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Questions about Minutes Debrief

What does Minutes Debrief do?

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Minutes Debrief is an agent skill from silverstein/minutes. Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution.

When should I use Minutes Debrief?

Minutes Debrief fits situations like: the user says debrief; what just happened in that meeting; what did we decide; debrief that call.

How do I install Minutes Debrief in Claude Code?

Run `npx skills add silverstein/minutes --skill minutes-debrief -a claude-code`. Or copy the skill folder (.opencode/skills/minutes-debrief in silverstein/minutes) into .claude/skills/minutes-debrief in your project. Claude Code loads it when a task matches its description.

How do I install Minutes Debrief in Codex?

Run `npx skills add silverstein/minutes --skill minutes-debrief -a codex`. Or copy the skill folder (.opencode/skills/minutes-debrief in silverstein/minutes) into .agents/skills/minutes-debrief in your project. Codex loads it when a task matches its description.

Can I use Minutes Debrief 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 silverstein/minutes --skill minutes-debrief -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minutes-debrief, .gemini/skills/minutes-debrief, .github/skills/minutes-debrief and .opencode/skills/minutes-debrief in your project.

What does Minutes Debrief need to run?

Going by SKILL.md and its folder, Minutes Debrief needs the command-line tools its instructions call (node and git). Compatibility (from SKILL.md): opencode.

Does Minutes Debrief access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Minutes Debrief 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. Review the folder before installing.

What licence does Minutes Debrief use?

Minutes Debrief 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 Minutes Debrief use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Minutes Debrief?

Skills that share tags, products or a category with Minutes Debrief: Meeting Minutes (github/awesome-copilot, 40k stars), Meeting Analyzer (alirezarezvani/claude-skills, 28k stars), Meetings (alirezarezvani/claude-skills, 28k stars) and Meeting Minutes (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minutes Debrief?

silverstein (a GitHub user) maintains it in silverstein/minutes, which has 1,542 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 8, 2026.

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