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Analyse call

Skill himanshusaleria/gtm-engine/skills/analyse-call

Turns Claude Code into your sales team — 8 slash-command skills for pipeline tracking, daily rituals, call analysis, lead scoring, and cold outreach. Built for 0-to-1 founders.From the repository description

Install
npx -y skills add himanshusaleria/gtm-engine --skill analyse-call

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SKILL.md

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/analyse-call — Analyse Sales Calls Using Frameworks

Analyse a customer call transcript by applying your sales frameworks. Produces a structured evaluation with coaching insights and next steps.

Usage

  • /analyse-call {filepath} — Full analysis of a call transcript
  • /analyse-call --quick {filepath} — Summary + next steps only (skip framework breakdown)
  • /analyse-call --scorecard-only {filepath} — Commitment scorecard only
  • /analyse-call --compare {filepath1} {filepath2} — Compare two calls for same prospect

Prerequisites

  • At least one framework file exists in frameworks/
  • config/config.yaml exists with Linear and team settings

Instructions

When the user invokes /analyse-call, follow these steps:

Step 1: Read the Transcript

Read the call transcript file. Identify:

  • Participants — Who from your team, who from the prospect? Use config.team names to identify your team members.
  • Company — Which prospect/customer?
  • Stage — Where is this deal in the pipeline? (Check Linear {config.linear.pipeline_team} if needed)
  • Call type — Discovery, demo, POC review, follow-up, closing?

Step 2: Read the Frameworks

Read all framework files from frameworks/ in the project root.

Available frameworks (read each that exists):

  • frameworks/customer-profile.md (Customer Profile / ICP)
  • frameworks/market-segments.md (Market Segments / Buyer's Pyramid)
  • frameworks/discovery-questions.md (Discovery Questions / Mom Test)
  • frameworks/intent-signals.md (Intent Signals)
  • frameworks/messaging-structure.md (Messaging Structure)
  • frameworks/pipeline-scorecard.md (Pipeline Scorecard)
  • frameworks/prospect-qualification.md (Prospect Qualification / BANT)
  • frameworks/positioning-levels.md (Positioning Levels / Vitamin vs Painkiller)
  • frameworks/selling-window.md (Selling Window / Org Pain Stages)
  • frameworks/pain-discovery.md (Pain Discovery / SPIN Selling)
  • frameworks/sales-playbook.md (Sales Playbook / 7-Stage Deal Checklist)
  • frameworks/consequence-questions.md (Consequence Questions / Quantified Discovery)
  • frameworks/buyer-readiness.md (Buyer Readiness / Actions vs Words)
  • frameworks/category-language.md (Category Language / Default Filter)
  • frameworks/revenue-visibility.md (Revenue Visibility / Cash-Flow Scoring)

Also read user context if available:

  • my-context/icp-definition.md (user's ICP details)
  • my-context/company-overview.md (product context)

Note: Only apply frameworks that have real content.

Step 3: Apply Frameworks

For each available framework with real content, analyse the call. Use as many of the following sections as your frameworks support:

A. ICP Fit Analysis

  • Does this prospect match your ICP? Score using customer-profile.md criteria.
  • Cross-reference with my-context/icp-definition.md if it exists.
  • Which tier? Core / Broader / Universe (or equivalent from config.icp.tiers)
  • Any disqualifying factors?

B. Buyer's Pyramid Position

(Requires market-segments.md)

  • Where is this buyer in the pyramid?
    • 3% buying now
    • 7% open to buying
    • 30% not thinking about it
    • 30% don't think they're interested
    • 30% know they're not interested
  • What stage of the buyer's journey are they at?

C. Discovery Quality

(Requires discovery-questions.md)

  • Were questions structured well? Did the team get real data or just compliments?
  • Which discovery techniques were used effectively?
  • Which were missed?

D. Intent Signals Observed

(Requires intent-signals.md)

  • Map signals from the call against the intent signals framework.
  • What validated signals emerged?
  • What signals are still missing?

E. Messaging Effectiveness

(Requires messaging-structure.md)

  • Did the team use Issue -> Impact -> Resolution -> Outcome structure?
  • Was the positioning painkiller or vitamin?
  • Where did they fall into feature-selling mode?

F. Commitment Scorecard

(Requires pipeline-scorecard.md and/or prospect-qualification.md)

  • Score the prospect on engagement, problem acknowledgment, timeline, resources.
  • Words vs Actions assessment, scored 1-3 each where applicable.
  • BANT score: Budget, Authority, Need, Timeline — each rated 1-3.
  • Flag gaps between what the prospect said and what they did.

G. Positioning Analysis

(Requires positioning-levels.md)

  • What positioning level was the team selling at? Vitamin, Painkiller, or Life Support?
  • Quote specific moments where positioning was at the Painkiller level (strong).
  • Quote moments where the team slipped into Vitamin territory (feature-listing, no pain connection).
  • What questions could have elevated positioning?

H. Selling Window Assessment

(Requires selling-window.md)

  • Which org pain awareness stage is this prospect at? Unaware / Annoyed / Hurting / Desperate / Solved.
  • What evidence from the call supports this assessment?
  • Are there buying triggers visible (scaling, incidents, new leadership, compliance)?
  • Is the selling window open? Is the team's approach matched to the org's stage?

I. Pain Discovery (SPIN Analysis)

(Requires pain-discovery.md)

  • Which SPIN question types were used during the call? (Situation / Problem / Implication / Need-payoff)
  • What was the ratio? (Ideal: 10-15% S, 20-25% P, 40-50% I, 15-20% N)
  • Were Implication questions asked? (The type most founders skip.)
  • Did the prospect quantify the cost of their problem in their own words?
  • Did the prospect articulate what solving it would mean? (Need-payoff)

J. Sales Playbook Progress

(Requires sales-playbook.md)

  • Which of the 7 stages has this deal completed? Research / Outreach / Discovery / Demo / Proof / Close / Handoff
  • Checklist of exit criteria met vs remaining for the current stage.
  • What's the next stage and what needs to happen to get there?

K. Consequence Question Discipline

(Requires consequence-questions.md)

  • Which Operating Questions (baseline: how they work today) were asked? Which Consequence Questions (quantification: what it costs)?
  • Did the prospect say a pain number OUT LOUD in their own words? Quote it if so.
  • Where did the team get an operating answer and pitch instead of asking the consequence question?
  • Were Consequence Questions directed at someone who can actually feel the cost (pain owner), or at an evaluator?
  • Any "you'd have to ask X for that number" moments? (Those are stakeholder-expansion levers — flag them.)

L. Buyer Readiness Diagnosis

(Requires buyer-readiness.md)

  • Score the buyer's behavioral signals: time invested / effort invested / money signals / quality of problem definition.
  • Which journey stage does the BEHAVIOR put them at? (Awareness / Interest / Consideration / Purchase) — versus what their WORDS claimed.
  • Which readiness type are they? (Emotionally ready / Intellectually ready / Champion needing ammunition / Conceptually aware without urgency / Curious not pained)
  • Is the team's response mode matched to that type? What's the prescribed mode?

M. Category Language Check

(Requires category-language.md)

  • Did the team introduce themselves with a distinctive term or a generic category label?
  • Did the prospect ask "what do you mean by that?" at any point — or auto-categorize ("so you're like [competitor]")?
  • If the prospect filed the product under an existing category, what filter did it trigger and how could the intro have avoided it?

N. Revenue Visibility Score

(Requires revenue-visibility.md)

  • Based on this call's evidence, what visibility score (1-5) does this opportunity deserve? (Words never move it past 2 — only actions do.)
  • Did the score go up, down, or stay flat versus before the call?
  • What is the single visibility-raising action for this deal this week?

Step 4: What Went Right / Wrong

Based on the framework analysis, highlight:

Went right:

  • Moments where positioning was strong
  • Pain that was properly identified AND validated
  • Strong commitment signals (actions matching words)
  • Good questions asked

Went wrong:

  • Moments where the team fell into feature-selling mode
  • Pain identified but NOT validated with impact
  • Premature solutioning (selling before diagnosing)
  • Commitment signals missed or misread
  • Questions that should have been asked but weren't

Step 5: Where to Improve

Specific, actionable coaching points:

  • What to do differently next call based on framework gaps
  • Which commitment factors need elevation and how
  • How to move from current deal stage to next
  • Specific questions to ask next time

Step 6: Next Steps

Concrete actions:

  • Follow-up actions identified from the call
  • Commitment elevation moves for next interaction
  • Preparation needed before next call
  • Ask: "Want me to create any of these as tasks in Linear?"

If user says yes, create tasks in {config.linear.action_team} with:

  • Label: {config.linear.default_label}
  • Assigned to appropriate team member from config.team (match by role)
  • Reference the pipeline ticket if one exists
  • Include due dates based on urgency

Mode: --quick

Skip the framework-by-framework breakdown. Output:

  1. One-paragraph call summary
  2. Commitment scorecard (if framework available)
  3. Top 3 things that went well
  4. Top 3 things to improve
  5. Next steps with option to create Linear tasks

Mode: --scorecard-only

Output only:

  1. Commitment scorecard table with scores and justifications
  2. Words vs Actions gap analysis
  3. Which factors to elevate next and how

Mode: --compare

Read both transcripts. Output:

  1. Side-by-side scores showing change over time
  2. What improved between calls
  3. What regressed or stalled
  4. Trend assessment: is this deal gaining or losing momentum?
  5. Recommendations for next interaction

What ships with it: 1 file

2.7 KB alongside SKILL.md

Gives 0 of the 12 instructions most research analysis skills give in ~2.3k tokens

Counted across 1,213 of the 2,113 authors here whose files we hold, read 2026-09-06

  • Cite sources for every important claimin 47 of 1213, across 38 files
  • Separate facts from inferences and recommendationsin 21 of 1213, across 12 files
  • Write findings to a markdown filein 19 of 1213
  • Label every insight with a confidence levelin 18 of 1213, across 8 files
  • Read product marketing context before asking questionsin 18 of 1213, across 8 files
  • Rank themes by frequency and intensityin 16 of 1213, across 6 files
  • Establish research mode before proceedingin 16 of 1213, across 6 files
  • Segment survey responses by customer tier or tenurein 16 of 1213, across 6 files
  • Categorize support tickets before analyzingin 16 of 1213, across 6 files
  • Weight research sources from the last twelve monthsin 16 of 1213, across 6 files
  • Use at least five data points per segmentin 15 of 1213, across 5 files
  • Extract verbatim quotes for all research findingsin 15 of 1213, across 5 files

Said here and by no other author read

  • Identify participants and company
  • Determine the call stage and type
  • Read all available framework files
  • Apply frameworks with real content only
  • Highlight what went right and wrong
  • Provide specific actionable coaching points

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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