Technical Debt Evidence Ledger Reviewer
Turn scattered engineering observations into an evidence-linked technical-debt ledger, prioritization view, and review-ready remediation backlog.
$19.99
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Works with the AI tools you already use
See it in action
You say
Authorized context, decision goal, constraints, and accountable reviewer.
Your agent does
Review-ready decision pack with evidence labels, primary artifacts, open questions, risks, and approval checkpoint.
What you get
About this skill
Turn scattered inputs into a review-ready Technical Debt Evidence Ledger Reviewer.
Important work should not start with an ungrounded chat prompt. Technical Debt Evidence Ledger Reviewer gives Engineering Leadership Team a repeatable way to turn authorized source material into a structured decision pack: evidence is labeled, open questions remain visible, and every next step has an accountable human owner.
What you can produce
- Evidence-linked debt ledger
- Debt classification and impact fields
- Principal-versus-interest assessment
- Prioritized remediation backlog
- Review cadence and decision log
The before-and-after
Before: Important context lives across notes, drafts, spreadsheets, messages, policies, or interviews. Teams debate what is known, what is assumed, and who needs to decide.
After: You have a shared, review-ready artifact centered on Evidence-linked debt ledger, with explicit inputs, trade-offs, missing evidence, and an approval-ready next step.
Why this skill earns a place in your workflow
It enforces traceability from supplied artifacts to each debt claim, separates observed evidence from estimates, and produces governance-ready prioritization rather than generic advice.
Use it when
- You need to convert buyer-provided context into a reusable operating artifact.
- You want assumptions, unknowns, and contradictory inputs surfaced before a team acts.
- You need one clear version of the work for cross-functional review and accountable approval.
How it works
- Provide the authorized context, goal, constraints, and decision owner.
- Run the workflow to build an evidence ledger, required deliverables, options, and open questions.
- Review the output with the accountable human, verify claims, and decide whether to implement the next step.
Built for thoughtful teams, not autopilot
This is an instruction-only SKILL.md workflow. It does not log in, browse private systems, edit records, send messages, publish content, run commands, or execute transactions. It is designed to improve the quality and repeatability of team thinking—not to bypass ownership or professional judgment.
Known limitations
The Skill only organizes buyer-provided artifacts and labels assumptions; authorized humans must validate evidence, priorities, estimates, and remediation decisions. Buyers must verify facts, follow their own policies, and obtain any specialist review required for their context. This skill does not provide legal, financial, privacy, compliance, security, accessibility, or safety determinations.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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