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Agent skill

Analyzing Options Flow

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Track crypto options flow to identify institutional positioning and market sentiment.

MITAuto-check passedMarketing & SEO

Install Analyzing Options Flow

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-options-flow -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-options-flow --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/analyzing-options-flow .claude/skills/analyzing-options-flow && 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
analyzing-options-flow
GitHub stars
2.8k
Token cost
~1.8k tokens
SKILL.md length
791 words
Files
4 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Track crypto options flow to identify institutional positioning and market sentiment.

  • Works in 10 steps: Load exchange API credentials from… → Run Bash(crypto:options-*) to connect to… → Retrieve open interest data across all… → …
  • Tracking institutional options flow
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Calls python

What it does

Analyzing Options Flow is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/errors.md`, `references/examples.md` and `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Tracking institutional options flow
  • With phrases like track options flow
  • Analyze derivatives
  • Check institutional

Example prompts

  • “track options flow”
  • “analyze derivatives”
  • “check institutional”
  • “/analyzing-options-flow”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(crypto:options-*)

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Load exchange API credentials from ${CLAUDE_SKILL_DIR}/config/crypto-apis.env using the Read tool to authenticate against derivatives…
  2. Run Bash(crypto:options-*) to connect to the Deribit options data feed and pull the current options chain for BTC or ETH, including all…
  3. Retrieve open interest data across all strike prices and expiration dates to build an open interest heatmap showing where positions are…
  4. Calculate the aggregate put/call ratio by volume and by open interest to assess overall market sentiment (ratio above 1.0 indicates…
  5. Filter for block trades exceeding a configurable notional threshold (e.g., $500K+) to isolate institutional-sized activity from retail…
  6. Analyze the implied volatility term structure across expiry dates to detect vol compression (potential breakout ahead) or vol expansion…
  7. Track max pain levels for upcoming expiries by computing the strike price at which the most options expire worthless, indicating likely…
  8. Compare recent flow data against historical baselines (7-day and 30-day rolling averages) to flag statistically unusual positioning.
  9. Generate a flow summary report with actionable signals: bullish large-block calls, bearish put sweeps, IV skew shifts, and OI buildup at…
  10. Export results using --format json or --format csv for integration with trading dashboards or alerting systems.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(crypto:options-*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    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):

    • docs.deribit.com
    • greeks.live
    • theblock.co

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Analyzing Options Flow loads about 1.8k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 791 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 791 words, ~1,760 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-options-flow/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyzing-options-flow
description
Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(crypto:options-*)
compatibility
Designed for Claude Code
version
1.29.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
crypto, analyzing-options

Analyzing Options Flow

Overview

Track and analyze crypto options flow on centralized derivatives exchanges (Deribit, OKX, Bybit) to identify institutional positioning, gauge market sentiment, and detect unusual activity in BTC and ETH options markets.

Prerequisites

  • API credentials for at least one crypto derivatives exchange (Deribit API key recommended; OKX or Bybit as alternatives)
  • Python 3.8+ with requests and websocket-client libraries installed
  • Optional: pandas and numpy for advanced statistical analysis of flow data
  • Understanding of options terminology: strike price, expiry, implied volatility, delta, gamma, open interest, and premium
  • Network access to exchange WebSocket feeds for real-time flow monitoring

Instructions

  1. Load exchange API credentials from ${CLAUDE_SKILL_DIR}/config/crypto-apis.env using the Read tool to authenticate against derivatives exchange endpoints.
  2. Run Bash(crypto:options-*) to connect to the Deribit options data feed and pull the current options chain for BTC or ETH, including all active strikes and expiries.
  3. Retrieve open interest data across all strike prices and expiration dates to build an open interest heatmap showing where positions are concentrated.
  4. Calculate the aggregate put/call ratio by volume and by open interest to assess overall market sentiment (ratio above 1.0 indicates bearish bias; below 1.0 indicates bullish).
  5. Filter for block trades exceeding a configurable notional threshold (e.g., $500K+) to isolate institutional-sized activity from retail noise.
  6. Analyze the implied volatility term structure across expiry dates to detect vol compression (potential breakout ahead) or vol expansion (uncertainty increasing).
  7. Track max pain levels for upcoming expiries by computing the strike price at which the most options expire worthless, indicating likely price magnetism near expiry.
  8. Compare recent flow data against historical baselines (7-day and 30-day rolling averages) to flag statistically unusual positioning.
  9. Generate a flow summary report with actionable signals: bullish large-block calls, bearish put sweeps, IV skew shifts, and OI buildup at key strikes.
  10. Export results using --format json or --format csv for integration with trading dashboards or alerting systems.

See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full implementation workflow.

Output

  • Options chain tables showing strike, expiry, bid/ask, IV, delta, gamma, open interest, and volume for each contract
  • Put/call ratio summary (by volume and open interest) with historical comparison
  • Block trade log listing timestamp, direction (buy/sell), strike, expiry, size, premium, and implied volatility
  • Open interest heatmap data mapping strike prices against expiration dates with position concentration
  • Max pain calculation per expiry date with the optimal pain strike and dollar value at risk
  • Implied volatility term structure curves across near-term and far-term expiries
  • Unusual activity alerts flagging trades exceeding 2 standard deviations from the rolling average
  • JSON or CSV export files for downstream analysis and dashboard integration
Show full SKILL.md (360 more words)Show less

Error Handling

ErrorCauseSolution
API Rate Limit ExceededToo many requests to the derivatives exchange APIImplement request throttling with 100ms minimum between calls; use WebSocket feeds for real-time data instead of polling REST endpoints; upgrade API tier if needed
Cannot connect to blockchain node or timeoutRPC endpoint unreachable when resolving on-chain settlement dataSwitch to a backup RPC endpoint; verify network connectivity; confirm the node is fully synced
Invalid API key or signature mismatchExchange API authentication failureRegenerate API keys on the exchange; verify key permissions include read access to derivatives data; check system clock synchronization (HMAC signatures require accurate timestamps)
No options data for instrumentQueried an expired or non-existent options contractVerify the instrument name matches exchange conventions (e.g., BTC-28MAR25-100000-C on Deribit); check that the expiry has not already passed
WebSocket connection droppedExchange feed disconnection due to inactivity or network issueImplement automatic reconnection with exponential backoff; send periodic ping frames to maintain the connection
Insufficient historical dataBaseline period too short for statistical comparisonExtend the rolling window from 7 days to 30 days; ensure the data collection pipeline has been running long enough to accumulate history

Examples

BTC Options Sentiment Snapshot
bash
# Pull current BTC options chain and compute put/call ratios
python options_flow.py btc --summary

Returns the aggregate put/call ratio, top 5 strikes by open interest, max pain for the nearest expiry, and the current implied volatility at-the-money. A put/call ratio of 0.65 with heavy call OI at the $120K strike suggests bullish institutional positioning.

Detect Institutional Block Trades
bash
# Filter for block trades above $1M notional in the last 24 hours
python options_flow.py btc --blocks --min-notional 1000000 --period 24h  # 1000000 = 1M limit

Lists all block trades exceeding the threshold with direction inference (aggressor side), strike, expiry, premium paid, and IV at execution. Useful for spotting large directional bets before they move the underlying.

ETH Implied Volatility Term Structure
bash
# Generate IV term structure for ETH across all active expiries
python options_flow.py eth --iv-curve --format json > eth_iv_term.json

Exports the IV term structure as JSON. Flat or inverted term structures (near-term IV higher than far-term) often precede sharp directional moves, while steep upward-sloping curves indicate calm near-term expectations.

Resources

  • Deribit API Documentation -- primary exchange for crypto options data, WebSocket and REST endpoints
  • Laevitas Analytics -- crypto derivatives analytics dashboard with options flow visualization
  • Greeks.live -- real-time crypto options analytics and block trade tracking
  • Amberdata Derivatives -- institutional-grade crypto derivatives data API
  • The Block Research -- aggregated crypto options market data and charts

© jeremylongshore, 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 3 other files (references) in skills/.curated/analyzing-options-flow of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/errors.md
  • references/examples.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Analyzing Options Flow 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.

Analyzing Options Flow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Options Flow this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.8kAutomated safety check: PassMIT
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Positioningferdinandobons/startup-skill1.2k—~4.6kAutomated safety check: PassMIT
Stanley Druckenmiller Investmenttradermonty/claude-trading-skills3k1 repos~2kAutomated safety check: PassMIT
B2b Playbookweilun88313/B2B-Playbook203—~3.1kAutomated safety check: PassProprietary

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Categories

Questions about Analyzing Options Flow

What does Analyzing Options Flow do?

Track crypto options flow to identify institutional positioning and market sentiment. Analyzing Options Flow is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track crypto options flow to identify institutional positioning and market sentiment.

When should I use Analyzing Options Flow?

Analyzing Options Flow fits situations like: tracking institutional options flow; with phrases like track options flow; analyze derivatives; check institutional.

How do I install Analyzing Options Flow in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-options-flow -a claude-code`. Or copy the skill folder (skills/.curated/analyzing-options-flow in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/analyzing-options-flow in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Options Flow in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-options-flow -a codex`. Or copy the skill folder (skills/.curated/analyzing-options-flow in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/analyzing-options-flow in your project. Codex loads it when a task matches its description.

Can I use Analyzing Options Flow 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-options-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-options-flow, .gemini/skills/analyzing-options-flow, .github/skills/analyzing-options-flow and .opencode/skills/analyzing-options-flow in your project.

What does Analyzing Options Flow need to run?

Going by SKILL.md and its folder, Analyzing Options Flow needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(crypto:options-*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Analyzing Options Flow access the network?

SKILL.md names 3 domains. As links in the text: docs.deribit.com, greeks.live and theblock.co. This is read from the text; nothing was executed.

Is Analyzing Options Flow 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 Analyzing Options Flow use?

Analyzing Options Flow 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 Analyzing Options Flow use?

About 1.8k tokens (SKILL.md is roughly 7k 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 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Options Flow?

Skills that share tags, products or a category with Analyzing Options Flow: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Options Flow?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

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