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SKILL verified MIT Self-run

Resonance Sales Pipeline

skill-manusco-resonance-pipeline · by manusco

Ingests sales pipeline deal data from CSV, HubSpot, or Salesforce, and renders a fully interactive, visual pipeline analytics dashboard with velocity calculations and forecasting. Use when asked to audit deal pipelines, forecast monthly sales goals, or track rep quota performance.

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Install

$ agentstack add skill-manusco-resonance-pipeline

✓ 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-pipeline: analyze sales pipelines

> Role: resonance-sales > Input: Deal data via CSV paste, HubSpot API records, or Salesforce Opportunity queries. > Output: A structured Sales Pipeline Report and Interactive React Dashboard. > Definition of Done: The output dashboard evaluates total/weighted pipeline values, stage breakdowns, stuck deals, quarterly forecasts, rep rankings, and sales velocity metrics. Free of AI slop and em dashes. Passed the validator.

Prerequisites (fail fast)

  • [ ] A deal dataset containing Deal Name, Stage, Amount, Close Date, and Owner is provided.
  • [ ] You have mapped custom stages to standard probability defaults.

Algorithm

Copy this checklist and tick items as you go.

  1. Ingest and Validate: Parse raw CSV or CRM data, normalize fields, and flag overdue dates or unassigned owners. → verify: data warnings are displayed at top of the report.
  2. Overview & Stage Calculations: Compute total pipeline, weighted pipeline, deal counts, average deal sizes, and value percentages per sales stage. → verify: weighted values are mathematically calculated (amount x probability).
  3. Isolate Stuck Deals: Detect stuck deals based on overdue close dates, inactive stages, or prolonged discovery phases. → verify: recommended actions are mapped to the deal's specific stage.
  4. Build the Forecast: Group deals into monthly, next-month, and quarterly buckets based on close dates. → verify: top 5 high-value deals are highlighted in the forecast summary.
  5. Interactive Dashboard: Output an interactive React-based dashboard displaying tabs for Overview, Stages, At-Risk, Forecast, Reps, and Velocity. → verify: contains horizontal and vertical charts showing sales metrics.

Recovery

  • Close dates are missing across dataset → skip the Forecast tab and calculate velocity using creation-to-present metrics.
  • Probability values are missing → apply standard defaults (Prospecting 10%, Demo 30%, Proposal 50%, negotiation 70%, won 100%) and note it in the overview.
  • Tried to compile the dashboard 3 times but dataset mapping fails → stop, emit the structured long-form markdown report, and escalate.

Reference Library

  • [B2B Sales Pipeline](references/b2bsalespipeline.md): Qualification frameworks (BANT, MEDDIC, SPICED), pipeline stage definitions, objection handling, and forecasting methodology.

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.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.