Security-flagged skill

This skill may contain destructive commands. Do not install, copy, download, or run it before reviewing the skill details and source. Use it deliberately and only in contexts you understand.

Scanner findings

highhidden_behavior

View source repo ↗

Impediment Prioritization

github/awesome-copilot/skills/impediment-prioritization

Multi-file

GitHub· v1.0.0

devopsOfficial

Official Provider SkillView repo

Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, risks, findings, gaps, action items, or backlog entries; or mentions value-stream prioritization, A3 / lean countermeasure ranking, ROI vs. effort scoring, or building a remediation / improvement backlog

Files2 files

SKILL.md128 lines

Loading editor…

Install

Recommended

One command — your agent picks it up automatically.

Select AI agent

Select an AI agent above to see the install command.

Manual Install

More steps

Download the archive and add the files to your project manually.

Skill details

Versionv1.0.0

AuthorGitHub

Categorydevops

Skill IDgithub/awesome-copilot/skills/impediment-prioritization

Files2 files

Related skills

Acquire Codebase KnowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.Acreadiness AssessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.Acreadiness Generate InstructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.Acreadiness PolicyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.Add Educational CommentsAdd educational comments to the file specified, or prompt asking for file to comment if one is not provided.Adobe Illustrator ScriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.