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Agent skill

Shark

by sickn33 in sickn33/agentic-awesome-skills

Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.

MITAuto-check passedAgent Workflows

Install Shark

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill shark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills shark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shark .claude/skills/shark && rm -rf skills-src

Use ~/.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/

Facts

Skill name
shark
GitHub stars
47k
Token cost
~1.4k tokens
SKILL.md length
795 words
Files
3 (incl. scripts, references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.

  • Works in 5 steps: size it → write the pitch file → open the session → …
  • Tasks that involve Subagents
  • SKILL.md covers When to Use This Skill, The tool, Step 1: size it and Step 2: write the pitch file, plus 6 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Shark is an agent skill from sickn33/agentic-awesome-skills. Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/investors.json` and `scripts/shark.py`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/shark”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. size it
  2. write the pitch file
  3. open the session
  4. the panel
  5. the board

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • instagram.com
    • github.com

    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

Shark loads about 1.4k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 795 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 795 words, ~1,443 tokens.

Download SKILL.mdSave it as .claude/skills/shark/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
shark
description
Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.
category
business
risk
safe
source
community
source_repo
alexyc9381/shark-skill
source_type
community
date_added
2026-10-03
author
Alex Chen (@nocodealex)
tags
business, startup, pitch, investors, subagents, feedback
tools
claude
license
MIT

shark

For when Claude says every business idea is great. Instead of one friendly answer, the idea goes in front of a Shark Tank-style panel of Claude sharks who want to say no. You are the host. You never invest, never answer for the founder yourself, and never soften a decision.

What the user typed after /shark: $ARGUMENTS

If that is blank, or still reads like a placeholder, take the idea from the conversation.

When to Use This Skill

  • Use when the user wants honest feedback on a business, product or side-hustle idea instead of agreement.
  • Use when the user asks "would investors fund this?" or wants to practice a pitch before a real meeting.
  • Use when the user says "pitch", "shark tank" or "/shark".

The tool

Every piece of bookkeeping goes through scripts/shark.py in this skill's folder:

bash
python3 "${CLAUDE_SKILL_DIR}/scripts/shark.py" <command>

Below, SHARK means exactly that command. If the path looks unexpanded, use the "Base directory for this skill" that Claude Code printed at the top of this skill. The state lives in .shark/<run>/state.json in the current directory, and every command after init finds it through .shark/LATEST.

Step 1: size it

flagmeaning
--investors N2 to 10 sharks. Default 5.
--seed SPicks a random panel from the 10 sharks, reproducibly.

Run SHARK plan with the same flags and tell the user in one line how big the session is, for example "5 investors, 11 sub-agent calls", then start. If this skill fired on its own, ask once first.

Sub-agents write into .shark/ in the current directory. Suggest accept-edits mode (Shift+Tab) for the session. Do not change the user's settings yourself.

Step 2: write the pitch file

Sub-agents cannot see this conversation. The investors and the founder know only what is in the pitch file, so write .shark/pitch.md to stand on its own:

  • First line: the idea in one sentence, in the user's words ("A subscription box of local hot sauces").
  • Then everything the user told you: price, costs, customers so far, who it is for, how they will find customers, what they need the money for, timeline.
  • Do not add numbers, traction or plans the user never gave, and do not write your own opinion of the idea into it. Missing facts are fine: the investors will ask about them, and that is the point.

Step 3: open the session

bash
SHARK init --pitch-file .shark/pitch.md [--investors N] [--seed S]
Show full SKILL.md (406 more words)Show less

Step 4: the panel

Always drive it with SHARK next. The phases run in this order: grill (every investor writes their three hardest questions), answers (one founder sub-agent answers them all, only from the pitch file), decide (every investor goes IN or OUT).

Every phase works the same way:

  1. SHARK prompts <phase> writes one brief per job and lists the jobs still to run, in waves.

  2. Launch one wave at a time: a single message with one Agent tool call per job in that wave (the Agent tool is called Task in older Claude Code versions). Each call is:

    • subagent_type: general-purpose
    • description: shark <job id>
    • prompt: Read <brief path> and follow it exactly. It is your whole brief.

    Wait until every agent in the wave has replied before you launch the next wave.

  3. After the last wave, run SHARK next. If an output is missing, re-run those jobs once. If one fails twice, write the single line NO DECISION into its file and move on. Never write a question, an answer or a decision yourself.

Step 5: the board

When SHARK next says the panel has decided:

bash
SHARK render

It counts the deals, writes BOARD.md into the run folder and prints it. Show the user the headline, the panel table, "What would change their minds" and the homework list exactly as written. Then add at most two lines of your own: the one piece of homework you would do first, and the path to the full session.

Rules for you, the host:

  • Never change, soften or re-count a decision. "No deal" is useful information.
  • Never add praise the panel did not give.
  • The offers are practice numbers from language models, not real money and not financial advice. Say so once if the user treats an offer as a valuation.
  • If the user wants another round, write their new answers into the pitch file and run a new session.

Examples

text
/shark A subscription box of local hot sauces. $35 a month, 12 customers so far, I want to reach 500.
/shark --investors 10 [paste your pitch deck text]

Limitations

  • The investors are language models and the offers are practice numbers, not real money and not financial advice.
  • The founder agent answers only from what the user wrote, so a thin pitch produces a long homework list rather than a fair verdict.
  • Five investors is 11 sub-agent calls; each one counts toward the user's Claude plan usage.
  • Runs in Claude Code (it spawns sub-agents and calls its script through ${CLAUDE_SKILL_DIR}).

Source

By Alex Chen (@nocodealex). Original repo with tests and a real example run: https://github.com/alexyc9381/shark-skill

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in skills/shark of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/investors.json
  • scripts/shark.py

Open the folder on GitHubat commit ec02547

Compare with similar skills

Shark 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.

Shark compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shark this skillsickn33/agentic-awesome-skills47k—~1.4kAutomated safety check: PassMIT
Trading AgentsLeoYeAI/openclaw-master-skills2.2k—~4.2kAutomated safety check: PassMIT
Using Startup Superpowersdavepoon/buildwithclaude3.6k—~1.8kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone

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Categories

Questions about Shark

What does Shark do?

Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer. Shark is an agent skill from sickn33/agentic-awesome-skills. Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.

When should I use Shark?

Shark fits situations like: tasks that involve Subagents.

How do I install Shark in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill shark -a claude-code`. Or copy the skill folder (skills/shark in sickn33/agentic-awesome-skills) into .claude/skills/shark in your project. Claude Code loads it when a task matches its description.

How do I install Shark in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill shark -a codex`. Or copy the skill folder (skills/shark in sickn33/agentic-awesome-skills) into .agents/skills/shark in your project. Codex loads it when a task matches its description.

Can I use Shark 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 sickn33/agentic-awesome-skills --skill shark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shark, .gemini/skills/shark, .github/skills/shark and .opencode/skills/shark in your project.

What does Shark need to run?

Going by SKILL.md and its folder, Shark needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Shark access the network?

SKILL.md names 2 domains. As links in the text: instagram.com and github.com. This is read from the text; nothing was executed.

Is Shark 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Shark use?

Shark is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shark use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 551 tokens, read only when the agent opens those files.

What are the alternatives to Shark?

Skills that share tags, products or a category with Shark: Trading Agents (LeoYeAI/openclaw-master-skills, 2.2k stars), Using Startup Superpowers (davepoon/buildwithclaude, 3.6k stars), Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars) and Subagent Driven Development (Asvarox/allkaraoke, 261 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shark?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.