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tinyorbit-aitinyorbit-ai/skills/skills/forge-dx/SKILL.md

forge-dx

Skill1 starsChanged 3 months agoMITView on GitHub

Live developer-experience audit of a built CLI, API, SDK or library — runs the getting-started flow, times hello-world, checks errors, help and docs, and scores it with evidence. Run by forge-review for dev-facing phases. Use when asked to "test the DX", for a "DX audit" or to "try the onboarding".

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the build isn't developer-facing, say so and exit.

    line 17
  2. Distinctive:

    First call / first command: run it for real. Capture stdout/stderr.

    line 30

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

forge-dx

Tests the experienced developer journey by living it, not by reading the plan (that's forge-harden's DevEx angle). For libraries, APIs, CLIs, SDKs, tools.

When it runs

  • Auto: forge-review's runtime pass invokes this when the build is developer-facing (CLI/API/SDK/lib), scoped to what the phase changed.
  • Standalone: full onboarding audit on demand.

If the build isn't developer-facing, say so and exit.

Process

  1. Be a first-time developer. From a clean state, follow only what a real developer would have: the README / docs / --help. No insider knowledge. Read wiki/learnings.md first — past DX rules are enforced.
  2. Run the real flow and instrument it:
    • Time-to-hello-world (TTHW): from "I have nothing" to "it did the thing once". Record the actual minutes and every step taken.
    • Install/setup: does it work as documented, exactly? Note every gap between docs and reality.
    • First call / first command: run it for real. Capture stdout/stderr.
    • Error experience: deliberately do it wrong (missing arg, bad input, no auth). Screenshot/paste the actual error messages. Are they actionable or cryptic? An unhelpful error is a finding.
    • CLI help / API surface: is --help / the signature self-explanatory? Naming consistent? Surprises?
    • Docs: can the core task be completed from docs alone? Where did you get stuck or have to read source?
  3. Scorecard with evidence. Rate each (TTHW, setup, first-success, errors, help/docs, naming) with the concrete observation behind the score — real numbers, real quotes, real screenshots. No score without evidence.
  4. Fix and capture. Objective defects (wrong docs, broken setup step, cryptic error with an easy better message, missing --help) → fix on the phase branch and re-verify. Subjective calls → one AskUserQuestion batch in the Decision Brief shape (../forge/references/question-style.md): concrete framing, named stakes, recommendation with the why. Append the rule-to-remember to wiki/learnings.md; deferred polish → wiki/improvements.md. Tell the user what you changed and captured.

Result

End with the FORGE_RESULT line from ../forge/references/headless.md.

Rules

  • Evidence-first: TTHW is a measured number, errors are pasted verbatim.
  • Real clean-state run — no "it would probably work".
  • Fix objective DX defects automatically; surface only taste.
  • Phase branch only; never ship here.
  • Judge respect-for-developer-time, never adoption/market.

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