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getedgehq/cli-ux-review

Audit a command-line tool for user-friendliness — clear situation / next-step / options in every output, colour-highlighted runnable commands, no raw jargon, no silent hangs. Invoke for "CLI UX audit", "review my CLI", "is this CLI intuitive", or before any CLI release.

What is cli-ux-review?

cli-ux-review is a Codex agent skill that audit a command-line tool for user-friendliness — clear situation / next-step / options in every output, colour-highlighted runnable commands, no raw jargon, no silent hangs. Invoke for "CLI UX audit", "review my CLI", "is this CLI intuitive", or before any CLI release.

Works with~Claude CodeCodex CLI~Cursor
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Documentation

CLI UX Review

Audits a CLI against a fixed rubric, from the perspective of a non-developer who has never used it.

When to invoke

  • "CLI UX audit" / "review my CLI" / "is this CLI intuitive"
  • Before every CLI release
  • After adding or changing any CLI command

The frame

Every command output must answer three questions: What is the situation? · What are the next steps? · What can I do?

Quality bar: a command ends the way Codex ends a session — a line of plain status, then the exact next command, rendered in a distinct colour so the eye lands on "type this."

Rubric (score each command against all 7)

  1. Next step present. Every success / terminal state ends with the next command, or an explicit "you are done." No command stalls silently.
  2. Commands are colour-highlighted. Runnable commands render in one consistent accent (cyan + bold). Never bare text, never literal backticks.
  3. No raw internals. No enum values, state codes, or jargon in user output. Human words plus a one-line legend ("dirty" becomes "local edits").
  4. No silent hang. Long-running or stdio commands announce themselves on a TTY, so the terminal never looks frozen.
  5. Consistent primitives. One glyph set, one row/table helper, one next-step block, shared across commands, not re-invented per command.
  6. Errors embed the fix. Every error names the exact command that resolves it.
  7. Guided first run. Bare invocation or a not-logged-in state shows a numbered quickstart.

How to run

  1. Inventory every command and every output path. Read the source, not just --help.
  2. For each command, walk the success path, every error path, and empty states.
  3. Score against the 7 rubric points. Cite file:line for each finding.
  4. Where it fails, write the concrete before / after with the exact strings.
  5. Output: cross-cutting issues, a per-command table, ranked before/after fixes, and an execution plan.

Output format

A findings doc: TL;DR and core problem, cross-cutting issues table, per-command findings, before/after for each fix, execution plan. Never write "looks fine" without having walked the actual output path that proves it.

Individual skills in this repo

This repo contains 15 individual skills — each has its own dedicated page.

getedgehq/agent-evals

Build evals for an AI agent that already does real work. Use when someone asks "how do I know my agent is right", wants to test an agent before trusting it, compare models on cost versus quality, or turn production failures into tests. Walks from first tasks and yes/no verifiers, to isolated environments, to a trace-driven improvement loop.

getedgehq/generate-image

Generate images with OpenAI GPT Image 2 via the Codex CLI, billed through the user's ChatGPT Plus subscription (no OpenAI API key, no per-image API cost). Use when the user asks to create, generate, or make an image, picture, illustration, icon, hero graphic, or concept art from a text prompt.

getedgehq/harness-first

Diagnose and fix an unreliable, expensive, or unsafe LLM agent by auditing its harness (golden set, judge, cost caps, data layer, action approvals, tracing) before blaming or swapping the model. Use when someone says an agent is "burning tokens", "hallucinating", "brittle", gives inconsistent answers, asks whether to switch to a cheaper/better model, or wants to ship an agent or prompt change to customers.

getedgehq/http-error-triage

Run before concluding anything from an HTTP error on a third-party API. Separates a real credential/entitlement problem from a CDN or WAF block, a wrong endpoint, or a client-signature ban. Use whenever an API returns 401/403/402/429 and you are about to say "the key is dead", "credits are exhausted", "the plan lacks access", or "we are rate limited".

getedgehq/linkedin-media-prep

Convert, crop, resize, and compress images and videos for optimal LinkedIn upload quality and file size. Use when the user wants to prepare a photo, image, or video for LinkedIn (profile picture, cover photo, post image, article featured image, post video, or video ad), optimize file size for LinkedIn, crop and resize for LinkedIn dimensions, convert HEIC/RAW/PNG/MOV to LinkedIn-ready JPEG or MP4, or mentions LinkedIn media requirements, specs, or limits.

getedgehq/monid

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getedgehq/opendraft

An 18-agent pipeline that turns one topic line into a drafted

getedgehq/people-search

Find and rank professional people for recruiting, partnerships, sales, or research from user-provided data, public web sources, an authenticated search session, or a connected provider. Use for people discovery, LinkedIn or Sales Navigator search design, profile-list ranking, or provider filter translation.

getedgehq/product-launch-video

Turn a product URL, launch brief, or approved script into a production-ready launch video. Use for product reveals, feature announcements, SaaS launches, and narrated product films; not for generic explainers or editing existing footage.

getedgehq/rocketlist

Turn a CV into a shortlist of live startup roles from Rocketlist's public job board, including adjacent job titles the person would never have searched for, each with its published salary, the evidence for the fit, and a direct apply link. Use for "find roles I would be a strong fit for", career pivots, remote or VC-backed job hunts, and salary-visible role discovery.

getedgehq/security-audit-checklist

Run a comprehensive security audit across application code, cloud infrastructure, containers, CI/CD pipelines, and infrastructure-as-code. Covers privacy compliance, OWASP basics, secret leakage, API security, IAM misconfigurations, storage exposure, Kubernetes hardening, and network security. Use when the user asks to audit, review, or harden app or cloud security, check for secrets, scan for XSS/SQLi, verify security headers, review Terraform/CloudFormation, audit AWS/GCP/Azure configs, or perform any security-focused review.

getedgehq/shadcn-first

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getedgehq/strip-image-ai-metadata

Strip C2PA and AI-generation metadata from images (PNG, JPEG, WebP) to remove "Generated by AI" / "ChatGPT" / "DALL-E" labels that platforms like LinkedIn, Instagram, and X display. Use when the user wants to clean AI-generated images before posting, remove AI attribution from photos, strip C2PA manifests, sanitize image metadata for professional use, or verify whether an image contains C2PA data.

getedgehq/top-down-comms

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getedgehq/workplan

Create, update, or close work plans for multi-step tasks. Use when starting refactors, bug lists, feature work, migrations, or any task with 2+ steps. Also use after auto-compaction to re-orient. Triggers: "workplan", "work plan", "create a plan", "what's the plan", "where was I", or when Claude detects

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