finding-to-issue-planner

Group CodeBuddy findings into reviewable issue candidates with evidence and approval boundaries.

4|1|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/danielbaustin/agent-design-language --skill finding-to-issue-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finding-to-issue-planner
Source: https://github.com/danielbaustin/agent-design-language/tree/main/adl/tools/skills/finding-to-issue-planner
Command: npx skills add https://github.com/danielbaustin/agent-design-language --skill finding-to-issue-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Convert CodeBuddy review findings into grouped, reviewable issue candidates to support planning and governance without mutating trackers or creating tickets prematurely.

Core Features & Use Cases

  • Groups related findings into cohesive issue candidates with titles, bodies, evidence, acceptance criteria, and validation plans.
  • Outputs issue_candidates.md and issue_candidates.json for review, handoff, and potential operator action boundaries.
  • Enforces an explicit approval boundary to stop before tracker creation or repository mutation.

Quick Start

Provide the finding source and an output directory to generate issue candidates with the included plan script.

Frequently Asked Questions about finding-to-issue-planner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert CodeBuddy review findings into issue candidates for planning?

To convert CodeBuddy review findings, you provide a finding source and output directory to generate grouped issue candidates with titles, evidence, and acceptance criteria as markdown and JSON files. This enables review and handoff without mutating trackers.

Can I group multiple code review findings into a single issue without creating tracker tickets?

Yes, you can group multiple code review findings into cohesive issue candidates. The process enforces an explicit approval boundary to stop before tracker creation or repository mutation, ensuring safe planning without premature ticket generation.

What inputs are required to generate issue candidates from review findings?

Generating issue candidates requires specifying the finding source, mode, and policy. These inputs enforce policy-controlled grouping, evidence extraction, and approval boundaries to produce the output files under the artifact root.

What file formats are produced when planning CodeBuddy findings into issue candidates?

Planning CodeBuddy findings produces issue_candidates.md and issue_candidates.json files under the artifact root. These formats support structured review, governance handoff, and potential operator action boundaries.

Does planning review findings into issue candidates enforce policy-controlled grouping?

Yes, planning review findings enforces policy-controlled grouping, evidence extraction, and approval boundaries. This ensures that related findings are safely grouped into reviewable issue candidates for governance before any tracker mutation occurs.