founder-led-sales

founder-led-sales is a skill for Claude Code, Codex from deciqAI/knowledge-skills. It costs 94 tokens per session (684 once invoked), scanned A, original, MIT.

A sales approach in which an early-stage founder sells directly to customers before handing sales to a dedicated salesperson.

In plain words
What is it for?
Use it to find first customers, decide when sales hiring makes sense, and document a repeatable sales process.
Why use it?
Direct selling gives the founder firsthand information about customer problems, objections, pricing, and what actually closes before the process is scaled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to find first customers, decide when sales hiring makes sense, and document a repeatable sales process.

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Install with agentmods
npx agentmods add skills/deciqai/knowledge-skills/founder-led-sales
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add deciqAI/knowledge-skills --skill founder-led-sales
Clone the repo
git clone --depth 1 https://github.com/deciqAI/knowledge-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for founder-led-sales

README.md
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Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.00684
Opus 5 $0.00047 $0.00342
Sonnet 5 $0.00019 $0.00137
Haiku 4.5 $0.00009 $0.00068

Measured 9d ago against content hash 240af6255ce2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

founder-led-sales scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

founder-led-sales/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Founder-Led Sales — Sell It Yourself Until It's Repeatable

Overview

Before product-market fit, the founder must run sales personally — not because it scales, but because it's the fastest, highest-fidelity discovery loop and the only way to learn what actually closes. Hiring a salesperson to sell an unproven product usually fails: they can't articulate a value prop that doesn't exist yet, and the founder loses the learning. You earn the right to hire sales by first closing repeatably yourself.

When to Use

  • First ~$0→$1M / first dozens of customers
  • Deciding whether to hire a salesperson
  • Selling something new whose pitch isn't yet nailed

The Process

  1. Go direct to buyers yourself — outbound, warm intros, communities. Do the unscalable outreach.
  2. Run discovery, not pitching — learn their problem, budget, and buying process (pairs with the-mom-test, SPIN discovery).
  3. Sell manually and imperfectly — a deck and a call beat a funnel; concierge-close early deals.
  4. Log every objection and win reason verbatim; the transcript is your future pitch, pricing, and playbook.
  5. Codify the repeatable motion — ICP, message, objections, close steps. Gate: if you can't write down why deals close, it isn't repeatable yet → keep selling, don't hire.
  6. Only then hire/automate — hand a documented, closing motion to a rep or an agent. Gate: hiring before repeatability transfers a problem, not a system.

Applying It Well

  • Founder credibility closes early deals no rep can — use it.
  • Don't hide behind product/building to avoid selling; avoidance is the tell.
  • Charge real money early; free "yes" isn't validation.

Red Flags

  • Hiring a salesperson to avoid doing sales.
  • Automating a funnel before a human has closed repeatably.
  • No written record of objections/win reasons.

Verification

  • Founder personally closed the first cohort
  • Objections + win reasons logged verbatim
  • Repeatable motion documented (ICP/message/close)
  • Real money collected before scaling

Read the full file on GitHub · 44 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 44 lines · 94 tokens per session scan A 240af6255ce2

Subscribe to this mod's changes

founder-led-sales is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 94 tokens to every session and 684 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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