TypingMindTypingMindThe best frontend for AI
Income Strategies logo

Income Strategies

Community
agentii-ai
income-strategies

options income, covered call strategy, cash secured puts, credit spreads, iron condor, wheel strategy, premium selling, yield enhancement, defined risk income, monthly income options

Overview

Publisheragentii-ai
Repositoryagentii-investment-intelligence
Skill nameincome-strategies
Stars
207
Forks
16
Bundled files
2
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentii-ai on GitHub. Read the source before you install it.

Installation

Install the Income Strategies AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/options-derivatives/skills/agentii/income-strategies
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git /tmp/agentii-investment-intelligence
mkdir -p .claude/skills
cp -r /tmp/agentii-investment-intelligence/plugins/vertical-plugins/options-derivatives/skills/agentii/income-strategies .claude/skills/income-strategies
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Income Strategies in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Income Strategies on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Income Strategies is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Defaults

ParameterDefault ValueRationale
parameter_freetrueThis skill has no tunable parameters; analysis scope set by temporal_scope frontmatter

Preflight

Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query knowledge entries for relevant frameworks; query search_by_analogue for historical cases.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

See ## Protocol section below.

Income Strategies

Options analysis powered by spec 037 L3/L4 knowledge base (K7).

Preflight

Run the canonical pre-flight sequence. See contracts/preflight.md.

Data Source Priority

  1. Knowledge entries (K7 options frameworks) → 2. search_by_analogue for relevant cases

The options-chain input does not exist, and this skill must say so (spec 058 FR-028). No route and no MCP tool on this deployment returns an option chain — get_options_chain is implemented nowhere, and this skill no longer declares it. So chain-derived quantities (bid/ask, open interest, per-strike Greeks, implied volatility by strike) have no source. They MUST NOT be presented as retrieved, estimated from the underlying's price, or reconstructed from memory. Name the missing input in the artifact, annotate coverage_gap per contracts/error-handling-template.md, and abstain from the parts of the analysis that depend on it. What remains is real: K7's frameworks apply to a name without a chain.

Protocol

  1. Framework Application — apply K7 frameworks from references/knowledge-frameworks.md
  2. Option Chain Analysis — abstain, and say why: no tool returns an option chain (see Data Source Priority). Apply the K7 frameworks and list the chain inputs that were unavailable instead of inferring them.
  3. Analogue Retrieval — query historical options/volatility cases

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query gold.knowledge_entries for frameworks; query search_by_analogue for historical cases.

Temporal Scope

See frontmatter temporal_scope.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

See ## Protocol section below.

Output File

{ticker}/{YYYY-MM-DD_HHMM}_income-strategies_{affix}.md

Output Structure

  1. Executive Summary — key findings in 2-3 sentences
  2. Framework Analysis — applied frameworks with specific findings
  3. Quantitative Metrics — relevant calculations and benchmarks
  4. Historical Analogues — matched cases with citations
  5. Risk Assessment — key risk factors and mitigants
  6. Coverage Gaps — data limitations and degraded flags
  7. Executive Summary 2. Framework Analysis 3. Option Greeks & Metrics 4. Historical Analogues 5. Risk Profile 6. Scenarios

Error Handling

| Options chain input — no tool provides one (get_options_chain is unimplemented; FR-028) | Framework-only analysis; name the missing input in the artifact and annotate coverage_gap. Never present chain-derived figures as retrieved. |

Final Summary (TUI)

Include ### Key Citations block (0–10 /v/ URLs).

Memory Load

Load prior context before retrieval. See contracts/memory-load.md.

Snapshot

Post-session synthesis. See contracts/snapshot-synthesis.md.

Output Frontmatter

Structured output per contracts/output-frontmatter-schema.md.

References

references/knowledge-frameworks.md, contracts/citation-and-memory.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Income Strategies AI skill do?

options income, covered call strategy, cash secured puts, credit spreads, iron condor, wheel strategy, premium selling, yield enhancement, defined risk income, monthly income options

Why use Income Strategies on TypingMind?

Because you install it once and use it with any model. Income Strategies is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Income Strategies in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/options-derivatives/skills/agentii/income-strategies. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Income Strategies?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Income Strategies?

As many as you like. As long as a model supports skills, you can use Income Strategies with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Income Strategies AI skill free?

Yes. It is published on GitHub by agentii-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
mattpocock logo

Diagnosing Bugs

mattpocock
CommunityPopular

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

22.3K
264.4K
2 files
View
affaan-m logo

E2e Testing

affaan-m
CommunityPopular

Patrones de pruebas E2E con Playwright, Page Object Model, configuración, integración CI/CD, gestión de artefactos y estrategias para pruebas inestables.

39.1K
261.1K
Instructions
View
affaan-m logo

Eval Harness

affaan-m
CommunityPopular

Framework formal de evaluación para sesiones de Claude Code que implementa principios de desarrollo orientado a evals (EDD)

39.1K
261.1K
Instructions
View
affaan-m logo

Tdd Workflow

affaan-m
CommunityPopular

Usar este skill al escribir nuevas funcionalidades, corregir bugs o refactorizar código. Aplica el desarrollo guiado por pruebas con 80%+ de cobertura incluyendo pruebas unitarias, de integración y…

39.1K
261.1K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇