Agent skill

Senpi Why

by Senpi-ai in Senpi-ai/senpi-skills

Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps, bots or AI chatbots?" — the positioning answer, led by value, not a feature dump.

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Senpi Why

skills CLI
$ npx skills add Senpi-ai/senpi-skills --skill senpi-why -a claude-code

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

GitHub CLI
$ gh skill install Senpi-ai/senpi-skills senpi-why --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/Senpi-ai/senpi-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/senpi-why .claude/skills/senpi-why && 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
senpi-why
GitHub stars
134
Token cost
~2.5k tokens
SKILL.md length
1,402 words
Files
2 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Apache-2.0

At a glance

Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps, bots or AI chatbots?" — the positioning answer, led by value, not a feature dump.

  • Why should I use Senpi
  • SKILL.md covers The one-line answer, Lead with the category…, The three proof pillars (in… and "You're no different from…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • How is Senpi different

What it does

Senpi Why is an agent skill from Senpi-ai/senpi-skills. Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps, bots or AI chatbots?" — the positioning answer, led by value, not a feature dump. Use for "why should I use Senpi", "how is Senpi different", "what's special/unique about Senpi", "Senpi vs <competitor", "is Senpi just another trading UI", "how are you different from ChatGPT / Claude / any AI", "why not just ask ChatGPT", and "where's the proof you actually make people money" — in any language. Lead with the category difference —…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/overview-positioning.md`).

It sits in Business, Finance & HR, covering Trading and backtesting, Chatbots and conversational support and Text to speech and voice. It works with OpenAI and Hyperliquid. The repository describes itself as: Open-source AI agent skills + 80+ strategy templates for autonomous trading on Hyperliquid — build, deploy, and protect strategies across crypto, equities, commodities & indices… The licence is Apache-2.0.

When your agent uses it

  • Why should I use Senpi
  • How is Senpi different
  • Whats special/unique about Senpi
  • Senpi vs <competitor

Example prompts

  • “what makes Senpi different?”
  • “why Senpi?”
  • “Senpi vs other trading apps, bots or AI chatbots?”
  • “/senpi-why”

What it can do on your machine

Read from SKILL.md and the folder at commit 4f0a537. 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.

    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

Senpi Why loads about 2.5k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 209 tokens; SKILL.md has 1,402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~209
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

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 Senpi-ai/senpi-skills at commit 4f0a537, republished under its Apache-2.0 licence (© Senpi-ai). 1,402 words, ~2,542 tokens.

Download SKILL.mdSave it as .claude/skills/senpi-why/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
senpi-why
description
Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps, bots or AI chatbots?" — the positioning answer, led by value, not a feature dump. Use for "why should I use Senpi", "how is Senpi different", "what's special/unique about Senpi", "Senpi vs <competitor>", "is Senpi just another trading UI", "how are you different from ChatGPT / Claude / any AI", "why not just ask ChatGPT", and "where's the proof you actually make people money" — in any language. Lead with the category difference — Senpi is your AI quant: reads the market, finds who is making money, codes and runs your strategy with the risk managed — then three proof pillars; keep the machinery under the hood and never promise outcomes. Pure narration, no engine; for exact live numbers (fee tier, market count) call the existing tools.
license
Apache-2.0
metadata.author
Senpi
metadata.version
1.4.0
metadata.platform
senpi
metadata.exchange
hyperliquid

senpi-why — what makes Senpi different

Answer positioning questions the way Senpi wants to be understood: lead with value, keep the machinery under the hood, never promise outcomes. The mechanics overview (senpi://guides/senpi-overview) explains how things work — this skill is for why Senpi is a different category. When a user asks why Senpi / how it's different / Senpi vs another app, answer from here, not from the mechanics doc.

The one-line answer

Senpi is your AI quant on Hyperliquid. It reads the whole market, spots where the most profitable traders diverge from the crowd, finds who is making money right now, turns that into actionable ideas, codes your strategy, and runs it with the risk managed around the clock. What Cursor and Claude are for code, Senpi is for trading.

Lead with the category difference, not a feature list

Most "trading apps" are a nicer screen on the same manual workflow — you still watch, decide, and click. Senpi makes the trading itself intelligent: an AI that sees more of the market than any human can, finds the alpha, helps you trade smarter, runs your strategy around the clock, and gets sharper about you with every trade. What Cursor and Claude are for code, Senpi is for trading.

With Senpi 2.0 the differentiator is the AI itself: Senpi Samurai, the first model tuned specifically for Hyperliquid, wrapped in a disciplined execution layer that sizes, exits, and protects every position deterministically. The model brings the conviction; the system brings the discipline.

Open with one or two sentences of that — then back it with the pillars below. Do not open with fees, builder-fee bps, or a bulleted feature catalog.

The three proof pillars (in this order)

1. It reads the whole market — and finds alpha humans miss. Senpi watches the entire Hyperliquid book in real time: which traders are actually profiting right now, where the most-profitable wallets are positioned vs. the crowd, and where smart money is rotating. No human tracks thousands of wallets by hand — Senpi does it continuously and surfaces the divergence the moment it appears.

2. It runs the strategy 24/7 — and protects the position. This is the moat. Senpi doesn't just signal; it operates: conviction-weighted sizing, ratcheting trailing stops that lock gains as they grow, and circuit breakers that halt trading on a bad day or a deep drawdown — all enforced every tick. Built to protect capital first.

3. You describe the thesis in plain English — Senpi builds and runs it. Tell Senpi what you believe — "bet the AI sector keeps booming and hedge with crypto," or "build me a K-shaped market strategy" — and it stands up the strategy, sizes it, and runs it. No config files, no scripting. Prefer to follow proven traders instead? Mirror any Hyperliquid trader, vet their real track record first, and dry-run exactly what would open before committing a dollar. Either way, every trade is public and verifiable onchain — no black box.

"You're no different from ChatGPT"

Take the question seriously. ChatGPT can talk about markets. Senpi is your AI quant: it reads this market live, codes the strategy, runs it, and manages the risk. Then the difference, one line each. The skill in brackets is the one that shows it — for you, not for the user.

  • Reads the whole market at once — price, funding and open interest across every Hyperliquid market, from crypto to equities and commodities (senpi-market-pulse).
  • Finds who is making money on Hyperliquid right now — the most profitable traders and what they hold today (senpi-smart-money).
  • Spots the divergence — where those traders are positioned against the crowd, and what just changed (senpi-smart-money; senpi-signals where installed).
  • Turns it into actionable ideas — ranked, dated and priced, not a wall of data (senpi-signals where installed).
  • Codes the strategy from a plain-English idea and proves it runs before any money moves (senpi-strategy-author).
  • Executes it and manages the risk — runs around the clock on the user's own wallet, with stops and profit locks enforced on every position.

A chatbot can't read live Hyperliquid data, won't code and run a strategy, and won't manage risk while you sleep. Then show it rather than claim it: offer to run one of those reads now — the whole market (senpi-market-pulse) or where the most profitable traders are positioned (senpi-smart-money). Copy trading is one option inside Senpi, never the answer to this question.

"Show me it actually makes people money"

Answer with what Senpi does, never with profits.

  • Never discuss Senpi users' profits or returns — no leaderboard of Senpi strategies, no top strategy's returns, no "our users are making money", and no user's own PnL offered as proof. Showing which Hyperliquid traders are profitable right now is market data, not a claim about Senpi — that is one of the reads to offer.
  • Don't promise outcomes. One plain clause is enough: Senpi doesn't promise profits.
  • Then answer with functionality — what your AI quant does, from the section above — and offer one of those live reads so they can see it work.
Show full SKILL.md (577 more words)Show less

Supporting facts (proof, not the lead — only after the pillars)

  • Test a strategy live, in real market conditions — better than paper trading. senpi validate proves it runs before a cent moves, then the $10 floor is the trial, on its own isolated sub-wallet. Results are real fills at real spreads, not a simulation that flatters itself. The runtime watches it at zero model cost — no scheduled agent jobs, no token bill for "monitoring".
  • Multi-strategy isolation — each strategy runs in its own sub-wallet, so one can't liquidate another.
  • 350+ markets from one account — crypto, US equities, metals and indices, one balance and one set of risk rules across all of them. Quote the live count from market_list_instruments, never from memory.
  • Deposit from anywhere — the Fund Your Wallet flow takes USDC from any supported network (or a card) and lands it on Hyperliquid, ready to trade.
  • Fees + loyalty — a transparent builder fee that drops through a loyalty-tier system; refer and earn a share.
  • Open source — the strategy engine, risk gates, and exit presets are public and auditable.

Voice guardrails (always)

  • Lead with value, not function. "Runs your strategy 24/7" — never "powered by an agent runtime / MCP / harness." Keep the infra under the hood.
  • Never promise outcomes. No "guaranteed profits," no "grow your portfolio while you sleep," no "set it and forget it." Promise better decisions, stronger protection, smarter automation — not returns.
  • Keep autonomy trustable. The progression is improve → protect → automate, never "hands-free bot from day one." Helpful first, protective second, autonomous when the user is ready.
  • Use "alpha" carefully — "finds alpha humans miss" ✓; "guaranteed alpha" ✗.
  • Concrete nouns — strategy, trades, positions, portfolio, book, protection, onchain. Avoid "AI layer," "trading intelligence platform," "runs your Hyperliquid."

Make "build it in plain English" concrete

When it lands, show a use case — a real-world thesis the user can just say and Senpi builds. Lead with how people actually think about markets (a sector, a war, a regime), not crypto jargon:

  • "Bet the AI sector keeps booming — and hedge it with crypto."
  • "Bet the Middle East conflict escalates rather than de-escalates."
  • "Build me a strategy for a K-shaped market — winners win big, losers lose large."
  • "Play a flight to gold if equities wobble."
  • "Go long the AI trade and cap my downside at 15%."

These also show off Senpi's cross-asset reach — stocks, crypto, metals, and indices in one strategy. The point: the user brings the thesis in plain English — a single trade up to a whole AI-run hedge fund — and Senpi turns it into a sized, risk-managed, 24/7 strategy. No config files, no scripting.

How to answer

  • Default shape: 1–2 sentence category difference → the three pillars (one tight line each) → offer to go deeper or set one up. Keep it crisp; expand a pillar only if asked.
  • Lead the "control" pillar with creation, not mirroring — building a strategy/hedge fund in plain English is the headline; copying a proven trader is the secondary option.
  • "Senpi vs <competitor>": contrast the category (an operator that runs it vs a UI you click), not a checkbox war.
  • "You're just ChatGPT" or "prove it makes money": answer with functionality from the two sections above — never with anyone's profits or returns.
  • Exact live numbers (current fee tier, market count): call the existing tools (get_loyalty_tiers, market_list_instruments) — don't hardcode them.
  • Close with a next step: "Want me to analyze what smart money is doing on Hyperliquid right now?"

The full consumer-facing positioning prose — ready to sync into the overview guide — is in references/overview-positioning.md.

© Senpi-ai, Apache-2.0. 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 1 other file (references) in senpi-why of Senpi-ai/senpi-skills.

  • SKILL.md
  • references/overview-positioning.md

Open the folder on GitHubat commit 4f0a537

Compare with similar skills

Senpi Why 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.

Senpi Why compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Senpi Why this skillSenpi-ai/senpi-skills134—~2.5kAutomated safety check: PassApache-2.0
Basis ArbSuperior-Trade/superior-skills215—~2.8kAutomated safety check: PassMIT
Fintoolsecond-state/fintool316—~5.9kAutomated safety check: PassNone
Moss Trade Bot Factorymoss-site/moss-trade-bot-skills390—~2.2kAutomated safety check: PassMIT-0
Opportunity RadarNunchi-trade/agent-cli521—~1.2kAutomated safety check: PassMIT
Longbridge Market Datahelsome/folio2711 repos~1.6kAutomated safety check: PassMIT

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Questions about Senpi Why

What does Senpi Why do?

Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps, bots or AI chatbots?" — the positioning answer, led by value, not a feature dump. Senpi Why is an agent skill from Senpi-ai/senpi-skills." — the positioning answer, led by value, not a feature dump.

When should I use Senpi Why?

Senpi Why fits situations like: why should I use Senpi; how is Senpi different; whats special/unique about Senpi; senpi vs <competitor.

How do I install Senpi Why in Claude Code?

Run `npx skills add Senpi-ai/senpi-skills --skill senpi-why -a claude-code`. Or copy the skill folder (senpi-why in Senpi-ai/senpi-skills) into .claude/skills/senpi-why in your project. Claude Code loads it when a task matches its description.

How do I install Senpi Why in Codex?

Run `npx skills add Senpi-ai/senpi-skills --skill senpi-why -a codex`. Or copy the skill folder (senpi-why in Senpi-ai/senpi-skills) into .agents/skills/senpi-why in your project. Codex loads it when a task matches its description.

Can I use Senpi Why 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 Senpi-ai/senpi-skills --skill senpi-why -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/senpi-why, .gemini/skills/senpi-why, .github/skills/senpi-why and .opencode/skills/senpi-why in your project.

What does Senpi Why need to run?

SKILL.md names no scripts, command-line tools or credentials: Senpi Why is instructions for the agent only.

Does Senpi Why 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 Senpi Why 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 Senpi Why use?

Senpi Why is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Senpi Why use?

About 2.5k tokens (SKILL.md is roughly 10k 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 801 tokens, read only when the agent opens those files.

What are the alternatives to Senpi Why?

Skills that share tags, products or a category with Senpi Why: Basis Arb (Superior-Trade/superior-skills, 215 stars), Fintool (second-state/fintool, 316 stars), Moss Trade Bot Factory (moss-site/moss-trade-bot-skills, 390 stars) and Opportunity Radar (Nunchi-trade/agent-cli, 521 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Senpi Why?

Senpi-ai (a GitHub organization) maintains it in Senpi-ai/senpi-skills, which has 134 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 10, 2026.

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