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Agent skill

Twinmind SDK Patterns

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

Apply production-ready TwinMind SDK patterns for TypeScript and Python.

MITAuto-check passedDevelopment

Install Twinmind SDK Patterns

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-sdk-patterns -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-sdk-patterns --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/twinmind-sdk-patterns .claude/skills/twinmind-sdk-patterns && 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
twinmind-sdk-patterns
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
135 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Apply production-ready TwinMind SDK patterns for TypeScript and Python.

  • Works in 4 steps: Client Wrapper with Authentication → Memory Storage and Retrieval → Meeting Context Integration → …
  • Implementing TwinMind integrations
  • SKILL.md covers Overview, Prerequisites, Instructions and Error Handling, plus 3 more sections
  • Reaches api.twinmind.com; needs TWINMIND_API_KEY

What it does

Twinmind SDK Patterns is an agent skill from jeremylongshore/tons-of-skills-marketplace. Apply production-ready TwinMind SDK patterns for TypeScript and Python. Use when implementing TwinMind integrations, refactoring API usage, or establishing team coding standards for meeting AI integration. Trigger with phrases like "twinmind SDK patterns", "twinmind best practices", "twinmind code patterns", "idiomatic twinmind".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Development, covering Code quality and Refactoring. It works with Python and TypeScript. 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

  • Implementing TwinMind integrations
  • Refactoring API usage
  • Establishing team coding standards for meeting AI integration
  • With phrases like twinmind SDK patterns

Example prompts

  • “twinmind SDK patterns”
  • “twinmind best practices”
  • “twinmind code patterns”
  • “/twinmind-sdk-patterns”

Requirements

  • Python 3
  • A credential in TWINMIND_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

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

  1. Client Wrapper with Authentication
  2. Memory Storage and Retrieval
  3. Meeting Context Integration
  4. Batch Operations with Rate Limiting

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

    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 python).

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.twinmind.com

    Also links to:

    • docs.twinmind.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TWINMIND_API_KEY

    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

Twinmind SDK Patterns loads about 1.3k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 135 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 135 words, ~1,250 tokens.

Download SKILL.mdSave it as .claude/skills/twinmind-sdk-patterns/SKILL.md (or your agent's skills folder).
name
twinmind-sdk-patterns
description
Apply production-ready TwinMind SDK patterns for TypeScript and Python. Use when implementing TwinMind integrations, refactoring API usage, or establishing team coding standards for meeting AI integration. Trigger with phrases like "twinmind SDK patterns", "twinmind best practices", "twinmind code patterns", "idiomatic twinmind".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, twinmind, api, python, typescript

TwinMind SDK Patterns

Overview

Production patterns for TwinMind's AI memory and meeting intelligence REST API. TwinMind captures, organizes, and retrieves contextual memories from conversations and meetings.

Prerequisites

  • TwinMind API key configured
  • Understanding of REST API patterns
  • Familiarity with memory/context retrieval concepts

Instructions

Step 1: Client Wrapper with Authentication
python
import requests
import os

class TwinMindClient:
    def __init__(self, api_key: str = None, base_url: str = "https://api.twinmind.com/v1"):
        self.api_key = api_key or os.environ["TWINMIND_API_KEY"]
        self.base_url = base_url
        self.session = requests.Session()
        self.session.headers.update({
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        })

    def _request(self, method: str, path: str, **kwargs):
        response = self.session.request(method, f"{self.base_url}{path}", **kwargs)
        response.raise_for_status()
        return response.json()
Step 2: Memory Storage and Retrieval
python
class TwinMindClient:
    # ... (continued from Step 1)

    def store_memory(self, content: str, context: dict = None, tags: list = None) -> dict:
        return self._request("POST", "/memories", json={
            "content": content,
            "context": context or {},
            "tags": tags or [],
            "timestamp": datetime.utcnow().isoformat()
        })

    def search_memories(self, query: str, limit: int = 10, tags: list = None) -> list:
        params = {"q": query, "limit": limit}
        if tags:
            params["tags"] = ",".join(tags)
        return self._request("GET", "/memories/search", params=params)

    def get_memory(self, memory_id: str) -> dict:
        return self._request("GET", f"/memories/{memory_id}")
Step 3: Meeting Context Integration
text
    def create_meeting_context(self, meeting_id: str, transcript: str, participants: list) -> dict:
        return self._request("POST", "/contexts/meeting", json={
            "meeting_id": meeting_id,
            "transcript": transcript,
            "participants": participants,
            "extract_action_items": True,
            "extract_decisions": True
        })

    def get_meeting_insights(self, meeting_id: str) -> dict:
        return self._request("GET", f"/contexts/meeting/{meeting_id}/insights")
Step 4: Batch Operations with Rate Limiting
python
import time

def batch_store_memories(client: TwinMindClient, memories: list, batch_size: int = 20):
    results = []
    for i in range(0, len(memories), batch_size):
        batch = memories[i:i+batch_size]
        for memory in batch:
            try:
                result = client.store_memory(**memory)
                results.append({"status": "ok", "id": result["id"]})
            except requests.HTTPError as e:
                if e.response.status_code == 429:  # HTTP 429 Too Many Requests
                    time.sleep(int(e.response.headers.get("Retry-After", 5)))
                    result = client.store_memory(**memory)
                    results.append({"status": "ok", "id": result["id"]})
                else:
                    results.append({"status": "error", "error": str(e)})
        time.sleep(1)  # rate limit between batches
    return results

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyVerify TWINMIND_API_KEY
429 Rate LimitedToo many requestsRespect Retry-After header
404 Not FoundInvalid memory/meeting IDValidate IDs before lookup
Empty search resultsQuery too specificBroaden query terms

Examples

Full Meeting Workflow
python
client = TwinMindClient()
# After meeting ends
ctx = client.create_meeting_context(
    meeting_id="mtg-123",
    transcript=transcript_text,
    participants=["alice@co.com", "bob@co.com"]
)
insights = client.get_meeting_insights("mtg-123")
for item in insights.get("action_items", []):
    print(f"- [{item['assignee']}] {item['task']}")

Resources

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

© 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

Just SKILL.md in skills/.curated/twinmind-sdk-patterns of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Twinmind SDK Patterns 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.

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Cross-Language Coding Standardszereight/gitlab-mcp2k1 repos~1.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Twinmind SDK Patterns

What does Twinmind SDK Patterns do?

Apply production-ready TwinMind SDK patterns for TypeScript and Python. Twinmind SDK Patterns is an agent skill from jeremylongshore/tons-of-skills-marketplace. Apply production-ready TwinMind SDK patterns for TypeScript and Python.

When should I use Twinmind SDK Patterns?

Twinmind SDK Patterns fits situations like: implementing TwinMind integrations; refactoring API usage; establishing team coding standards for meeting AI integration; with phrases like twinmind SDK patterns.

How do I install Twinmind SDK Patterns in Claude Code?

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

How do I install Twinmind SDK Patterns in Codex?

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

Can I use Twinmind SDK Patterns 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 twinmind-sdk-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/twinmind-sdk-patterns, .gemini/skills/twinmind-sdk-patterns, .github/skills/twinmind-sdk-patterns and .opencode/skills/twinmind-sdk-patterns in your project.

What does Twinmind SDK Patterns need to run?

Going by SKILL.md and its folder, Twinmind SDK Patterns needs credentials named TWINMIND_API_KEY. Our summary lists: Python 3; A credential in TWINMIND_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Twinmind SDK Patterns access the network?

SKILL.md names 2 domains. In commands or code: api.twinmind.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.twinmind.com. This is read from the text; nothing was executed.

Is Twinmind SDK Patterns 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 Twinmind SDK Patterns use?

Twinmind SDK Patterns 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 Twinmind SDK Patterns use?

About 1.3k tokens (SKILL.md is roughly 5k 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 Twinmind SDK Patterns?

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Who maintains Twinmind SDK Patterns?

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.