call-coach
Skill8 starsChanged 3 months agoMITView on GitHub
Debrief a sales or client call from its transcript or recording. Use when the user shares a call transcript, mentions a call that went well or badly, asks how they did, wants to prep for a follow-up, or asks what they missed. Also use on webinar, pitch and demo transcripts, and before a meeting to build a battle card on who is on the other side.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- NachoLafuente/5050-gtmtheir own version, first seen Jun 4, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- NachoLafuente/5050-gtm★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- hud/CLAUDE.mdCLAUDE.md
- agent-setupSkill
- asaSkill
- audio-briefSkill
- clone-siteSkill
- courseworkSkill
- creative-videoSkill
- debuggingSkill
- deep-researchSkill
- demoSkill
- graph-engineeringSkill
- gtm-engineeringSkill
- hudSkill
- interfaceSkill
- jev-browseSkill
- kit-builderSkill
- life-contextSkill
- life-opsSkill
- list-auditSkill
- mac-actSkill
- mac-appsSkill
- mac-briefSkill
- mac-controlSkill
- mac-debugSkill
- mac-followupsSkill
- mac-permissionsSkill
- mac-runtimeSkill
- mac-seeSkill
- peopleSkill
- prospect-briefSkill
- repo-healthSkill
- reviewing-changesSkill
- second-brainSkill
- setupSkill
- shippingSkill
- site-specSkill
- skill-forgeSkill
- skill-trainingSkill
- stack-rulesSkill
- study-guideSkill
- study-systemSkill
- textsSkill
- what-can-this-doSkill
- your-dataSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 51
Two hard lines: Never invent a case study.
- Distinctive: line 57
Not a verdict on the person.
- Distinctive: line 63
When a debrief is right, keep the call.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
call-coach
Reads a call and returns a debrief while the call is still fresh. The point is the loop: feedback within minutes changes the next call, feedback in a week changes nothing.
Getting the transcript
Granola, Zoom, Fathom and Otter all export text. A recording on disk goes
through whisper <file> --model small.en --language en --output_format txt.
A Mac call with no recording is a dead end, so say that rather than guessing
at what was said.
The debrief
Return these, in this order, and nothing else unless asked:
- What happened. Five sentences, no more. What they want, what they objected to, what was agreed.
- Talk ratio. Who spoke more, roughly, as a percentage. The buyer should be talking more than the seller. If the seller is over half, that is the headline finding and it goes first.
- Buying signals, quoted. A signal is something they said, not a vibe.
- Key moments, with the line that made each one matter.
- Missed opportunities. The question that should have been asked, at the point it should have been asked.
- Score out of 10, with the two things that cost the most points.
- Follow-up email, in the user's voice, ready to send. Draft only.
Scoring lenses
Score against negotiation and offer frameworks: calibrated questions, labelling, tactical empathy, and whether the offer's value was made concrete before price came up. Name which lens each deduction comes from so the user can argue with it.
Swap the lenses for whichever practitioners the user actually trusts. Ask once, then remember the answer in the second brain rather than asking again.
Before the call, not after
Same skill, different direction. Given a name and a company, build a battle card: who this person is, what they have built, how to open, which proof to bring, and the five objections they will raise with a response to each.
Two hard lines. Never invent a case study. Never invent a client name.
An unverifiable specific goes in as [NEED: ...], never as a plausible
value, because the one person who notices is the one who was there.
What this is not
Not a verdict on the person. A bad call is usually a structural problem: no discovery, price before value, or a question that never got asked. Name the structure, not the character.
Feeding it back
When a debrief is right, keep the call. A corpus of the user's own calls that closed beats any generic framework, and this skill gets better by reading them rather than by being rewritten.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

