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data-structure-protocol Skill

AI Agent SkillCode & Developer ToolsPythonOpen source

data-structure-protocol is a Python AI agent skill for Cursor, Codex with docker, git clone. Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

How to use data-structure-protocol Skill

Install or run

git clone https://github.com/k-kolomeitsev/dsp-boilerplate.git my-project
cd my-project
docker-compose up -d

Compatible clients

CursorCodex

What is data-structure-protocol Skill?

data-structure-protocol is a Python AI agent skill for Cursor, Codex with docker, git clone. Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
85/100
Maintenance signal
80/100
Adoption signal
42/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Reusable instructions support
  • Includes SKILL.md support
  • Shell commands support
  • Document generation support
  • OpenAI provider support
  • Anthropic provider support
  • skills/data-structure-protocol/SKILL.md config support

Technical details

Install or run data-structure-protocol using docker. Check k-kolomeitsev/data-structure-protocol for the latest setup command.

dockergit cloneCursorCodexHTTPSSE
  • Built for Python
  • Install or run with docker
  • Install or run with git clone
  • Works with Cursor
  • Works with Codex
  • Uses HTTP transport
  • Uses SSE transport
  • API key required

Requirements and access

PythonApache-2.0 licenseAPI key requiredAPI key required

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

Destructive actionsWrite actionsCredentials requiredCan write or update dataMay support destructive actionsAPI key required authenticationSelf-hosted

When to use data-structure-protocol Skill

  • Use it for reusing agent instructions, scripts, and references.
  • Use it for agent skills workflows.
  • Use it for coding workflows.
  • Use it for data workflows.
  • Use it for cursor users.

Built with

Pythondockergit cloneCursorCodexHTTPSSE

Explore related resources

Frequently asked questions

What is data-structure-protocol?

data-structure-protocol is a Python AI agent skill for Cursor, Codex with docker, git clone. Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

Who is data-structure-protocol best for?

data-structure-protocol is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, cursor users.

How do I install data-structure-protocol?

Install or run data-structure-protocol using docker. Check data-structure-protocol for the latest setup command.

Is data-structure-protocol actively maintained?

data-structure-protocol may need a closer maintenance check before production use.

Share:

Stars
51
Forks
4
Last commit
4 months ago
Repository age
5 months
License
Apache-2.0

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