Track code changes as Technical Changes with append-only revisions and session handoffs.
npx skills add https://github.com/Patasse97/claude-skills --skill tc-tracker
Please help me install this Agent Skill. Skill: tc-tracker Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/tc-tracker Command: npx skills add https://github.com/Patasse97/claude-skills --skill tc-tracker
Structured approach to documenting code changes as Technical Changes (TCs) to create an auditable history and enable reliable handoffs between AI sessions.
Initialize TC tracking in your project and create the first TC with a concise title.
High-intent search queries and answers about installing and using this skill.
You can track code changes by documenting them as Technical Changes (TCs) to establish an immutable audit trail. This method enforces a strict state machine and append-only revisions, storing records in your project's documentation directory.
Documenting technical changes for AI session handoffs requires a structured format to enable seamless continuity. By logging immutable change records, you provide clear context that allows AI sessions to resume work instantly.
You initialize a change log by setting up tracking in your project, then manage code change workflows across create, update, status, resume, close, and export states. This establishes a registry of technical changes with strict lifecycle management.
Yes, you can export a technical change log using the export workflow. This allows your team to review the immutable history of code changes and utilize the structured handoff format for collaborative continuity.
Yes, this technical change tracking approach operates without external dependencies. It manages the audit trail and state machine natively using local scripts and references stored directly within your project.
A strict state machine for code change documentation enforces append-only revisions and prevents unauthorized modifications, ensuring a reliable audit trail. This structured tracking guarantees data integrity for reliable session handoffs.
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