suede-prospecting
Suede AI prospecting and qualification: defines the ICP, then builds a bounded, source-backed lead sheet across four branches (B2B SaaS, general B2B, local…
Skill by JasonColapietro
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jasoncolapietro-suede-prospecting
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About
Use cases: spreadsheets, design, data, sales
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/suede-prospecting
What's inside
- Skill name
suede-prospecting- Description
- Suede AI prospecting and qualification: defines the ICP, then builds a bounded, source-backed lead sheet across four branches (B2B SaaS, general B2B, local business, and early demand signals from forums, reviews, and public issues), using licensed data (Apollo, ZoomInfo, Clay, HubSpot Breeze Intelligence, Sales Navigator for manual research) with fit scores, disqualification evidence, source and date per contact, and CAN-SPAM, GDPR, PECR, and CASL checks before handoff. Use when defining an ICP, sourcing and enriching a lead list, finding early adopters or design partners, scoring account fit, or documenting disqualification evidence. NOT FOR: sending outreach (use suede-cold-email), changing CRM routing or scoring (use suede-revops), or profiling competitors instead of prospects (use suede-competitor-profiling).
- License
- MIT
- Metadata
- version: 1.2.0
- Instructions
- 280 lines in SKILL.md · view on GitHub
Files (10)
- CARD.md
- SKILL.md
- openai.yaml · agents/
- evals.json · evals/
- b2b-prospecting.md · references/
- compliance.md · references/
- data-sources.md · references/
- demand-signals.md · references/
- local-prospecting.md · references/
- saas-prospecting.md · references/
SKILL.md (first lines)
# Suede AI Prospecting Skills ## Compatibility Works from supplied URLs, exports, or source text; live sourcing needs an authorized browser or research connector. No enrichment service is bundled. For a concrete input, expected handoff, and failure check, read [the worked handoff](references/worked-handoff.md). Suede AI Prospecting turns an approved ICP into a source-backed, scored lead sheet across B2B SaaS, general B2B, local business, and early demand-signal motions. Every candidate carries qualification evidence, disqualification logic, and a compliance-aware handoff before outreach begins. ``` IRON LAW: every row carries a source URL and the date it was captured, or it does not ship. No exceptions, no "verify later," no placeholder rows. ``` That single rule is what makes the downstream GDPR / CAN-SPAM lineage real. A row without it is not a low-confidence lead: it is not a lead. ## Before Starting **Check for product marketing context first:** If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. ## Pick the Branch Prospecting motions differ enough that the workflow forks at intake. Pick **one** branch based on who the user is selling to: | Branch | Sell to | What "qualified" looks like | Possible sources after access and terms checks | |--------|---------|----------------------------|-----------------------------------------------| | **SaaS** | Other SaaS companies / digital businesses | ICP fit + tech stack match + growth signals (funding, hiring, product velocity) | Public company sites, directories, developer sources, or licensed data available to the user | | **B2B** | Non-SaaS B2B (services, manufacturers, enterprises, mid-market) | Industry + size + geographic fit + buying signals (trigger events, vendor changes) | Public company records, industry directories, or licensed business data available to the user | | **Local SMB** | Local small businesses (shops, gyms, restaurants, clinics, salons, services) | Active business + website status + proximity + decision-maker access | Public business sites and manually reviewed listings allowed by their terms | | **Demand-signal** | Early-stage: first customers, design partners, or beta users | A cited public pain, demand, or timing signal, not just firmographic fit | Public forums, reviews, issues, posts, jobs, and launch records reachable with current authorized tools or manual review | Before using any named platform or vendor, discover what is currently callable, authenticated, authorized, and permitted by its terms. If no research connector or browser is available, give the user a manual source checklist and work from URLs, exports, screenshots, or source text they provide. If the user describes a hybrid motion (e.g., "SMBs that are also SaaS"), pick the dominant branch and pull in qualification signals from the other. If the user is early-stage and needs their *first* customers or design partners (evidence of demand over list coverage), use the **Demand-signal** branch. For the branch-specific deep dives: - **SaaS** → see [references/saas-prospecting.md](references/saas-prospecting.md) - **B2B** → see [references/b2b-prospecting.md](references/b2b-prospecting.md) - **Local SMB** → see [references/local-prospecting.md](references/local-prospecting.md) - **Demand-signal** (find your first customers) → see [references/demand-signals.md](references/demand-signals.md) --- ## Shared Framework (all branches) Every prospecting engagement follows the same five phases. Tools and qualification signals change per branch; the phases don't. ### Phase 1: Define the ICP Pull from `product-marketing.md` if available. Otherwise, gather: 1. **Firmographic fit**: industry, company size, revenue band, geography, business model 2. **Technographic fit** (SaaS branch): what tools they already use, what they're missing 3. **Buying signal**: why now? (trigger event, funding, hiring, new initiative, dissatisfaction with current vendor, recent move/expansion) 4. **Decision-maker profile**: role, seniority, what they care about 5. **Disqualifiers**: what makes a prospect a clear "skip" Output the ICP as a one-paragraph statement plus a checklist of pass/fail criteria. Don't move to discovery without this. ### Phase 2: Build the candidate list (discovery) Start at 2-3x the requested output count, adjusted down for thin source access or review capacity. Expand only when the observed disqualification rate shows another batch is needed, and cap expansion at 3 rounds. At the cap, stop sourcing: report the disqualification rate you observed and hand back a narrower ICP proposal rather than grinding through more sources. - **SaaS / B2B**: cross-check material claims across available first-party, public, or licensed sources. Named vendors are candidates only after access, freshness, terms, and cost checks. - **Local SMB**: use an authorized research connector or manual public-source review, then cross-check listing claims against the business's own site or another current source. A smaller evidence-complete list is preferable to padding the output with unverified candidates. Don't start qualification until every candidate has its source URL captured. ### Phase 3: Qualify each candidate Score every candidate against the ICP checklist. Add **evidence** (a source URL or two) for each qualification: never assert without backing. **Confidence levels** (used across all branches): - **High**: confirmed by at least two independent sources or official business page - **Medium**: one credible source plus consistent search evidence - **Low**: incomplete or ambiguous evidence: flag what remains uncertain For email contacts, discover whether an authorized validator is callable and read its current result semantics before use. If none is available, label the address `unverified`, keep it out of send-ready exports, and provide a user-operated validation checklist. Never claim that validation guarantees delivery. Don't move to scoring until every candidate carries a confidence level. ### Phase 4: Score and prioritize Apply this rubric for the **SaaS, B2B, and Local SMB** branches. The **Demand-signal** branch scores differently: 0–100 demand-fit, not Hot/Warm/Cold. See [references/demand-signals.md](references/demand-signals.md). | Score | Definition | |-------|------------| | **Hot** | ICP fit (passes the full Phase 1 ICP checklist) + clear buying signal + decision-maker accessible + verified contact | | **Warm** | ICP fit + softer or older signal + contact verifiable | | **Cold** | Loose ICP fit OR no clear signal OR contact unverified | | **Skip** | Disqualifier hit (out of ICP, closed business, duplicate, irrelevant, low confidence) | Branch-specific signals refine the scoring: see each reference file. Let the evidence determine the number in each label; never force a Hot/Warm/Cold quota. No row leaves this phase labeled Hot without both a buying signal and a verified contact: downgrade it to Warm instead.
From JasonColapietro/suede-creator-skills, MIT.
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Featured in
Signals
- Stars
- 125
- Forks
- 12
- Open issues
- 4
- Contributors
- 3
- Last commit (this folder)
- Oct 24, 2026 (3 days ago)
- Last release
- Aug 4, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.2.0
- License
- MIT
- Website
- skills.suedeai.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
suede-prospecting skill. Agent Mart. https://agentmart.dev/skills/jasoncolapietro-suede-prospecting (last updated 2026-10-24)