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gsd-build/get-shit-done

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.

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Summary Information

Updated 5 minutes ago
Type:Library / SDKCategory(s):MCP Servers, Agent Skills & PromptsAI Coding AgentsAI Agents & LLM Apps
Added to GitGenius on February 16th, 2026
Created on December 14th, 2025
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 5,432
Total Stargazers: 64,345 (-1)
Total Subscribers: 277 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.4 hours
Mean response time: 37.7 hours
90th percentile: 2.9 days
Tracked items: 1,859

Most active contributors

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Maintainer activity

5 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 7, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

Practically every issue opened in the past year has drawn a reply. 100% of issues opened in the past year have since been closed. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (814)
  • needs-triage (615)
  • enhancement (364)
  • confirmed (251)
  • confirmed-bug (233)
  • area: workflow (206)
  • priority: medium (178)
  • approved-enhancement (175)

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Detailed Description

Get Shit Done is a meta-prompting and context engineering system designed for Claude Code that enables spec-driven development workflows.

The tool addresses the challenge of maintaining consistent context and specifications across AI-assisted development sessions. It works by providing a lightweight framework for organizing prompts, context, and development specifications in a way that Claude Code can reliably interpret and act upon, reducing the friction between human intent and AI code generation.

The system suits developers who work extensively with Claude Code and want to establish repeatable, specification-driven development patterns. It is particularly valuable for projects where maintaining clear context across multiple development sessions matters, or where teams need consistent approaches to how they communicate requirements to AI assistants. The tool is designed to be lightweight, making it accessible for projects of varying scale without heavy overhead.

Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker is dominated by bug reports, enhancement requests, and confirmed issues, indicating active triage and prioritization of reported problems.