client-proposals

client-proposals is a skill for Claude Code from matteotitta/genesys-skills. It costs 121 tokens per session (1,605 once invoked), scanned A, original, MIT.

A proposal-writing guide for B2B SaaS go-to-market consulting engagements, based on notes from a discovery call. It structures the work, price, and timeline into one client document.

In plain words
What is it for?
Creating client proposals, statements of work, phased deliverables, pricing, and project timelines after a discovery call.
Why use it?
It turns scattered discovery notes into a clear proposal and helps set prices that match the planned work.

Skill for Claude Code

Written for Claude Code: paths in frontmatter.

Good fit Creating client proposals, statements of work, phased deliverables, pricing, and project timelines after a discovery call.

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Install with agentmods
npx agentmods add skills/matteotitta/genesys-skills/proposal
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 matteotitta/genesys-skills --skill proposal
Clone the repo
git clone --depth 1 https://github.com/matteotitta/genesys-skills

Made for: Claude Code.

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 client-proposals

README.md
[![agentmods](https://agentmods.dev/badge/skills/matteotitta/genesys-skills/proposal/github.svg)](https://agentmods.dev/skills/matteotitta/genesys-skills/proposal)
Your own site
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/proposal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/proposal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for client-proposals

Your own site · 80×15
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/proposal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/proposal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,605 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 $0.00121 $0.01605
Opus 5 $0.00060 $0.00803
Sonnet 5 $0.00024 $0.00321
Haiku 4.5 $0.00012 $0.00161

Measured 10d ago against content hash 06b6cd0393a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

client-proposals 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 10d 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.

skills/primitives/clients/proposal/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Client proposals

Generate scope-of-work proposals for B2B SaaS GTM consulting engagements. Map discovery insights to phased deliverables with defensible pricing. Gate 4 — pause for collaborative review before finalizing.

Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)

Output complies with output-tenets.md, output-simplicity.md, doc-output-structure.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].

Refinements applied: R1 (proposal is client-team review surface — cleaned [VERIFIED:...] tags in appendix toggle, never inline in face doc), R2 (multi-phase proposal ships as one doc with toggles per phase), R3 (engagement framing operator-direct, never "thrilled to propose"), R5 (proposal opener mirrors discovery-call insight verbatim), R6 (close → signed proposal primary, kickoff scheduling as fallback), R9 (verb-led phase + deliverable names).

When to run

Run when the user says: "create proposal for [company]", "scope of work for [company]", "create SOW", "GTM consulting proposal", "help me scope this project", or after a discovery call completes with notes available.

Don't run when the user wants discovery-call prep (discovery), pure company research (company-context), or post-signature ICP work (icp-behavioural).

Inputs

Required:

  • Company identifier — name or website. Verify it can be uniquely identified.
  • Discovery insights — call notes, meeting transcript, or discovery doc covering pain points, goals, signals.

Recommended (sharpen scope and pricing):

  • Budget signals (sets pricing band).
  • Timeline constraints (affects phasing).
  • Team resources — in-house designer, dev, content, etc. (affects scope).
  • Specific deliverable requests.

If discovery insights are missing → ask for notes or run discovery first. Don't fabricate context.

Steps

  1. Pull upstream context — read discovery output and (if available) company-context output for the prospect. Pull Slack history (slack_search_public) and Granola meeting notes (search_meetings) for fresh context.
  2. Map signals → deliverables — review pain points and goals; match against the six categories in the premium reference (foundational, website, content/distribution, launch support, sales enablement, customer marketing). Every line item must trace to a discovery signal.
  3. Set pricing band — pick a scope type from the pricing table in the premium reference; adjust for stage, scope breadth, budget signals, complexity. Apply standard terms (3-month commitment, 30-day notice, auto-renewal).
  4. Draft the context paragraph using the canonical formula: [Company] is [1-sentence description]. The platform serves [ICP] who need to [primary use case]. [Value prop]. Fresh off [milestone/trigger], the team needs [deliverable] to [outcome]. Two to three paragraphs total — company overview, current situation, goals from discovery.
  5. Phase the deliverables — Month 1 = foundation (research, audits); Month 2-3 = strategy + execution; Month 4+ = optional future scope. Foundation always precedes execution. Reflect client urgency (launch dates, board meetings, seasonal windows) in the timeline, not generic 4-week blocks.
  6. Assemble the document using the markdown template in the premium reference — title, [Month Year] subtitle, Context, Deliverables (with the standard tentative-scope disclaimer), Terms, Collaboration. Use - [ ] for all deliverable items (Google Docs checklist conversion). Keep checklist items flat per workstream.
  7. Run the self-evaluation in the premium reference — completeness, evidence quality, guardrails, self-roast. If anything fails, fix or flag before delivery.
  8. Pause for Gate 4 collaborative review — multi-round co-creation. Review scope accuracy, pricing, phasing, terms with the user before finalizing.
  9. After approval, offer the post-output options (adjust scope/pricing, push to Google Docs in PJ - Proposals, add/remove deliverables).

Read the full file on GitHub · 122 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. 10d ago First seen · 122 lines · 121 tokens per session scan A 06b6cd0393a4

Subscribe to this mod's changes

client-proposals is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 1,605 once invoked, about $0.0006 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 2026-08-30.

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