Business Proposals
EliasOulkadi/shokunin
Generate sales outreach sequences, proposals, SOWs, investor pitch decks, and RFP responses.
Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals.
Install Prospect Panel Simulator
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/prospect-panel-simulator .claude/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .claude/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/prospect-panel-simulator .agents/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .agents/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/prospect-panel-simulator .cursor/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .cursor/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OneWave-AI/claude-skills.git --path prospect-panel-simulator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/prospect-panel-simulator .gemini/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .gemini/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/prospect-panel-simulator .github/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .github/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills prospect-panel-simulator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/prospect-panel-simulator .opencode/skills/prospect-panel-simulator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prospect-panel-simulator" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/prospect-panel-simulator into .opencode/skills/prospect-panel-simulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prospect-panel-simulator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prospect-panel-simulator- GitHub stars
- 328
- Token cost
- ~1.2k tokens
- SKILL.md length
- 512 words
- Files
- 1
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals.
- Works in 5 steps: Assemble the prospect panel → Take in the artifact → Simulate reactions → …
- De-risk outbound and messaging without burning real leads
- SKILL.md covers What it pressure-tests, Step 0 — Assemble the prospect…, Step 1 — Take in the artifact and Step 2 — Simulate reactions, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prospect Panel Simulator is an agent skill from OneWave-AI/claude-skills. Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals. Each simulated prospect reacts in character, raises the objection they'd actually raise, and tells you whether they'd reply, book, or ghost. Use to de-risk outbound and messaging without burning real leads.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support, covering Landing pages, Cold outreach and Proposals and quotes. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
When your agent uses it
- De-risk outbound and messaging without burning real leads
- Tasks that involve Landing pages
- Tasks that involve Cold outreach
Example prompts
- “d actually raise, and tells you whether they”
- “/prospect-panel-simulator”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit fc5b785. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prospect Panel Simulator loads about 1.2k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 512 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 512 words, ~1,155 tokens.
Download SKILL.mdSave it as
.claude/skills/prospect-panel-simulator/SKILL.md (or your agent's skills folder).- name
- prospect-panel-simulator
- description
- Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals. Each simulated prospect reacts in character, raises the objection they'd actually raise, and tells you whether they'd reply, book, or ghost. Use to de-risk outbound and messaging without burning real leads.
- tools
- Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, Agent
- model
- inherit
Prospect Panel Simulator
Before you send the email, run the deck, or publish the pricing page — run it past the people who'd receive it. This skill simulates a panel of your actual prospects and reacts the way the market will: skeptical, busy, half-reading, comparing you to three other options.
Where customer-panel-of-experts debates a business decision with existing customers, this skill stress-tests a sales or marketing artifact against people who don't know you yet and don't owe you a reply.
What it pressure-tests
- Cold emails and full sequences (does it get a reply, or a delete?)
- Pitch decks and one-pagers (where do they check out?)
- Landing pages and pricing pages (what makes them bounce?)
- Demo scripts and discovery-call openers
- Proposals and SOWs (what gets pushed back on?)
Step 0 — Assemble the prospect panel
- Preferred: load personas from
icp-deep-scanneroutput (personas/,icp-profile.md) and seat the buying committee — economic buyer, champion, blocker, and end user — since a cold artifact hits all of them differently. - If no library exists and tools are connected, run
icp-deep-scanner(read-only) to ground the panel in real won/lost-deal data and real objection language. - Bootstrap from the user's description only as a last resort, labeled PROVISIONAL.
Critically, model cold-state prospects: they have low context, low trust, and an alternative they already use. A simulated prospect who reads charitably is useless.
Security
Read-only connections. No sending, no writing to any tool. No real prospect names/emails in output — these are archetypes. Secrets stay in env vars.
Step 1 — Take in the artifact
Read exactly what will go out (paste, file, or URL via WebFetch). Note the channel and the moment: a cold email at 7am from an unknown sender is judged differently than a pricing page reached after a demo. Confirm: who is this for, what's the one action it's asking for, and what does the prospect see right before this?
Show full SKILL.md (200 more words)Show less
Step 2 — Simulate reactions
Each panel member reacts in character through the real sequence of a busy buyer:
- First 3 seconds — subject line / headline / first slide only. Open or delete? Keep scrolling or bounce? Be brutal; most things die here.
- Skim — what they actually absorb on a fast read, what they skip, where the eye snags.
- Objection — the specific reason this particular persona hesitates, stated in their words ("we already use X", "no budget this quarter", "who are these guys", "feels generic").
- Trust check — does anything read as spam, AI-generated, over-promised, or off (the champion and the economic buyer flag different things).
- Verdict + next action — reply / book / forward to {persona} / ignore / unsubscribe — and the honest probability.
Let personas disagree: a value prop that excites the end user can spook the economic buyer on price.
Step 3 — Report
# Prospect Panel — {Artifact}
Generated: {timestamp} · Panel: {personas} · Channel: {cold email / LP / deck} · Grounding: {data / PROVISIONAL}
## Predicted outcome: {STRONG / MIXED / WEAK} — est. reply/convert signal
One-line read on whether to send as-is.
## Reaction by persona
| Persona | Opens? | Gets it? | Top objection | Action |
## Where it loses people (ranked, with the exact line)
1. "{quoted line}" — {persona} → {reaction} → {fix}
## AI-tell / trust flags
- Phrases or patterns that read as generic, automated, or over-promised.
## Rewrite the weak points
- Before → After on the 2–3 highest-leverage lines.
## A/B worth running
- The one variable most worth testing live.Step 4 — Iterate
Offer to apply the rewrites and re-run the panel on v2, or hand the winning angle to cold-email-sequence-generator / landing-page-copywriter to scale it.
Guardrails recap
Model cold, skeptical, time-poor prospects — not friendly readers · ground in real won/lost data when available, flag PROVISIONAL otherwise · read-only, no sending · quote the exact lines that fail · no real prospect PII.
© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in prospect-panel-simulator of OneWave-AI/claude-skills.
Open the folder on GitHubat commit fc5b785
Compare with similar skills
Prospect Panel Simulator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prospect Panel Simulator this skillOneWave-AI/claude-skills | 328 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Business ProposalsEliasOulkadi/shokunin | 114 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Client Proposalindranilbanerjee/digital-marketing-pro | 859 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Cold Email WriterInfrasity-Labs/dev-gtm-claude-skills | 139 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Replit Decksanqiufong/slides-from-anything | 132 | 1 repos | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Apify Buying Signal Detectionapify/awesome-skills | 265 | — | ~5.1k | Automated safety check: Notes | Apache-2.0 |
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Related
Questions about Prospect Panel Simulator
What does Prospect Panel Simulator do?
Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals. Prospect Panel Simulator is an agent skill from OneWave-AI/claude-skills. Simulate a panel of your real prospects and buyers to pressure-test sales and marketing before it goes out — cold emails, pitch decks, landing pages, pricing pages, demo scripts, proposals.
When should I use Prospect Panel Simulator?
Prospect Panel Simulator fits situations like: de-risk outbound and messaging without burning real leads; tasks that involve Landing pages; tasks that involve Cold outreach.
How do I install Prospect Panel Simulator in Claude Code?
Run `npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a claude-code`. Or copy the skill folder (prospect-panel-simulator in OneWave-AI/claude-skills) into .claude/skills/prospect-panel-simulator in your project. Claude Code loads it when a task matches its description.
How do I install Prospect Panel Simulator in Codex?
Run `npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a codex`. Or copy the skill folder (prospect-panel-simulator in OneWave-AI/claude-skills) into .agents/skills/prospect-panel-simulator in your project. Codex loads it when a task matches its description.
Can I use Prospect Panel Simulator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OneWave-AI/claude-skills --skill prospect-panel-simulator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prospect-panel-simulator, .gemini/skills/prospect-panel-simulator, .github/skills/prospect-panel-simulator and .opencode/skills/prospect-panel-simulator in your project.
What does Prospect Panel Simulator need to run?
SKILL.md names no scripts, command-line tools or credentials: Prospect Panel Simulator is instructions for the agent only.
Does Prospect Panel Simulator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prospect Panel Simulator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prospect Panel Simulator use?
Prospect Panel Simulator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prospect Panel Simulator use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prospect Panel Simulator?
Skills that share tags, products or a category with Prospect Panel Simulator: Business Proposals (EliasOulkadi/shokunin, 114 stars), Client Proposal (indranilbanerjee/digital-marketing-pro, 859 stars), Cold Email Writer (Infrasity-Labs/dev-gtm-claude-skills, 139 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prospect Panel Simulator?
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 328 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.