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SKILL verified MIT Self-run

Resonance Sales Cold Call

skill-manusco-resonance-cold-call · by manusco

Generates a structured B2B cold call script using a disarming, permission-based 6-part framework. Use when asked to write a cold call script, how to open a call, how to handle phone objections, or to plan a cold calling sales outbound campaign.

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Install

$ agentstack add skill-manusco-resonance-cold-call

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

/resonance-sales-cold-call: structure B2B cold call execution

> Role: resonance-sales > Input: Target description (seniority, role, company size, trigger event) + Sender's company offer. > Output: A structured, speakable 6-part cold call script. > Definition of Done: A speakable cold call script is generated containing Opener, Permission Framing, 3 Pain Hypotheses, Discovery, Mini Proof, and Meeting Ask. No AI slop or em dashes present. Passed the validator.

Prerequisites (fail fast)

  • [ ] Target persona's seniority and industry is identified (price-seniority mapped).
  • [ ] Product value proposition is climb-ladder mapped to an outcome (not just features).

Algorithm

Copy this checklist and tick items as you go.

  1. Opener: Draft a disarming, honest opener that states your name, company, and a pattern interrupt without asking "is this a good time?" or saying "how are you today?". → verify: hook is under 15 words.
  2. Permission Framing: Draft a permission request that gives the prospect explicit control and a clear exit to reduce immediate defensiveness. → verify: exit condition is stated clearly.
  3. 3 Pain Hypotheses: Formulate three specific pain hypotheses (functional, organizational, strategic) that lets the prospect self-diagnose their bottlenecks. → verify: each hypothesis is under 15 words.
  4. Discovery Questions: Design a single consequence-focused question that gets the prospect talking about the daily impact of their selected pain. → verify: only 1 main question is posed.
  5. Mini Proof: Formulate a brief, credible proof point ("companies like...") that establishes authority without generic or fabricated metrics. → verify: is under 3 sentences.
  6. Meeting Ask: Create a direct meeting ask offering a binary choice of two specific days and times for a brief 15-minute call. → verify: meeting length is capped at 15-20 minutes.

Recovery

  • Prospect hangs up immediately → log as unreachable, do not re-dial same day.
  • Prospect asks to "send an email" → redirect to value check: "happy to, but to keep it relevant, which of those three issues I mentioned is closest to what you're dealing with?"
  • Tried to customize the script 3 times without a speakable flow → stop, run the 15-second read-aloud test, simplify vocabulary, escalate.

Operating Standard

Apply the Resonance operating standard from AGENTS.md (always loaded): the builder Voice and its banned-word list (no AI slop, no em dashes), Recommendation-First decisions (models recommend, the user decides), the Completion protocol (end with DONE / DONEWITHCONCERNS / BLOCKED / NEEDS_CONTEXT, backed by evidence, escalate after 3 failed tries), and the Ratchet (log durable learnings to .resonance/learnings.jsonl).

> Model note (Claude): Strong native reasoning. Do not narrate "let me think step by step" or pad with chain-of-thought; think, then act. Prefer the dedicated file and search tools over shell. State assumptions briefly, then proceed.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.