weekly-cowork-system-auditor
A structured governance auditor to optimize AI project instructions, clean up context, and manage workspace health.
- Identify and prune outdated instructions and 'prompt rot' in AI projects.
- Audit installed skills to find overlaps, gaps, or unused capabilities.
- Maintain a lean long-term memory by archiving irrelevant context files.
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Identify and prune outdated instructions and 'prompt rot' in AI projects.
- Audit installed skills to find overlaps, gaps, or unused capabilities.
- terminal automation included
- Ready for including Claude Code
Sample input
Run a weekly audit of my AI project. I have attached my current project instructions and a list of installed skills. My goals for the next quarter are to improve client reporting and research automation. Produce a health report and suggested updates.
Sample output
The skill reviews the supplied project instructions for outdated goals, unclear rules and missing preferences, assesses the installed skills list for overlap and gaps relative to the stated quarterly goals, identifies any scheduled tasks or connectors where status cannot be confirmed and marks them as Needs Validation, and produces a structured health report with an executive summary, section-by-section findings, recommended changes with priority ratings, exact replacement text for instruction updates, and a specific action tracker with target dates and validation points.
weekly-cowork-system-auditor
A structured governance auditor to optimize AI project instructions, clean up context, and manage workspace health.
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Identify and prune outdated instructions and 'prompt rot' in AI projects.
- Audit installed skills to find overlaps, gaps, or unused capabilities.
- terminal automation included
- Ready for including Claude Code
- Instant install
Sample input
Run a weekly audit of my AI project. I have attached my current project instructions and a list of installed skills. My goals for the next quarter are to improve client reporting and research automation. Produce a health report and suggested updates.
Sample output
The skill reviews the supplied project instructions for outdated goals, unclear rules and missing preferences, assesses the installed skills list for overlap and gaps relative to the stated quarterly goals, identifies any scheduled tasks or connectors where status cannot be confirmed and marks them as Needs Validation, and produces a structured health report with an executive summary, section-by-section findings, recommended changes with priority ratings, exact replacement text for instruction updates, and a specific action tracker with target dates and validation points.
About This Skill
What it does
This skill acts as an automated governance officer for your AI development environment. It conducts a comprehensive weekly audit of your Claude Projects, Cursor workspaces, or custom AI agents by analyzing project instructions, skill manifests, memory files, and automated workflows. It identifies technical debt in your prompts, outdated context, and broken automation assumptions to keep your workspace lean and efficient.
Why use this skill
As AI projects grow, "prompt rot" and context clutter often lead to assistant hallucinations or degraded performance. Prompting an AI yourself often misses the holistic view of how different instructions and skills interact. This skill provides a systematic framework to ensure your project instructions stay aligned with your 3-6 month goals, your toolset is optimized, and your persistent memory remains clean and relevant.
Supported tools
- AI Project Workspaces (Claude Projects, Cursor, etc.)
- Custom GPTs and Assistant configurations
- Automated task schedules and recurring workflows
- External tool connectors and skill manifests
The output
You receive a structured System Health Report including a workspace health score, a detailed audit of existing instructions, and an actionable tracker. For environments without direct file-writing access, it generates high-quality replacement text blocks and patch instructions for you to copy-paste.
Use Cases
- Identify and prune outdated instructions and 'prompt rot' in AI projects.
- Audit installed skills to find overlaps, gaps, or unused capabilities.
- Maintain a lean long-term memory by archiving irrelevant context files.
- Generate a prioritized action tracker for workspace maintenance.
Known Limitations
- Cannot access live API connectors or file systems without explicit user-provided exports or screenshots. - Does not execute code or automate live workspace deletions independently.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/weekly-cowork-system-auditor -o /tmp/weekly-cowork-system-auditor.zip && unzip -o /tmp/weekly-cowork-system-auditor.zip -d ~/.claude/skills && rm /tmp/weekly-cowork-system-auditor.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
Works with any agent that supports the Universal SKILL.md standard, including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, OpenClaw, and 20+ compatible agents. No connectors are required - the skill works from user-supplied project files, exports and screenshots.