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Skillscritique-microcopy

critique-microcopy

Writing & research

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Updated 10-16 03:48

About this skill

critique-microcopy

Reviews error messages, empty states, and other short user-facing microcopy strings against NN/g's error-message guidelines, operationalized into the 14 NNG-EM-* criteria in references/NNG-EM.md: where and how prominently a message appears, what it says, how much work it leaves the reader, and whether a total failure still leaves some goodwill.

Narrow artifact claim. This skill's artifact format is annotated screens described in text, placement, container, timing, and behavior notated alongside each message, per ADR 0018 (microcopy artifact format), which chose that format over a bare string list precisely because eight of the fourteen criteria have nothing to read without it. A bare list of strings is still accepted as degraded input, at the coverage cost pass 2 below states; it is not the format this skill is measured on. Either way, this skill does not critique live applications or rendered screenshots: a screen's context arrives as structured text annotation, never as an image, and "the button looked wrong" is out of scope because nothing in the artifact states what the button looked like. See references/NNG-EM.md, "Artifact format", for the exact annotation grammar.

Contract

Every finding this skill emits conforms to contract/critique-contract.schema.json. See docs/reference/critique-contract.md for the field contracts a schema cannot check on its own: location navigable unaided, evidence quoted or measured rather than characterized, violation naming the breach, fix actionable and specific.

Protocol

Follow these four passes in order. Do not skip ahead to severity or fixes while still sweeping.

  1. Inventory. Map the artifact's structure (sections, headings, components, whatever the artifact type has). No judgments yet, no findings yet. This pass exists so the sweep in step 2 does not anchor on whatever was noticed first.

  2. Criterion sweep, in ID order. Walk every criterion in checks.scripted and checks.judged, in ascending ID order, evaluating each against the whole artifact before moving to the next. Run the scripted lane via scripts/checks.py <artifact>; perform the judged lane yourself, criterion by criterion, in the same fixed order. One-time prerequisite: pip install "jsonschema>=4.20,<5". Claude Code's /plugin install does not install Python packages, and checks.py names this command itself if the package is absent.

  3. Severity assignment, as a separate pass. Once every criterion has been swept, go back and assign severity to every finding using the weighing order in docs/reference/severity-scale.md (impact, then frequency, then persistence) and this skill's own references/severity-anchors.md. Do not assign severity while still discovering problems; that inflates it.

  4. Assemble the envelope. Do not do this pass by hand. Write every finding from both lanes to one JSON file, then hand that file to the library's own assembler. Two steps, in this order:

    # 1. Write the combined pool. Use an ABSOLUTE path; you are about to change directory.
cat > /absolute/path/to/findings.json << 'EOF'
{"findings": [ ...every finding from both lanes... ]}
EOF

# 2. Assemble, from this skill's directory, exactly as you ran scripts/checks.py in pass 2.
python3 scripts/merge.py --artifact <the SAME artifact path you gave checks.py> --findings /absolute/path/to/findings.json

    It ranks by severity, applies the output bound (every severity 3 and 4 finding, plus at most five below that threshold), assigns F-NNN ids after ranking, counts everything suppressed into summary.suppressed_count so nothing disappears uncounted, builds summary.by_severity over everything found rather than only what survived bounding, computes the gate, normalises prose to the contract's rules, and validates before printing.

    scripts/merge.py sits beside scripts/checks.py and is run the same way, from the same directory, so if pass 2 worked then this works. It knows its own skill name from its own location, so there is no --skill to get wrong. Use the same artifact path you gave checks.py. Add --severity-3-threshold N if a threshold was supplied.

    If it fails, say so and stop. Report the command and its error as your final message. Never substitute a prose write-up of the findings: the output contract is one envelope or nothing, and a readable summary that is not an envelope looks like success to everything downstream while being unusable by it.

    Return its output verbatim. It prints nothing at all rather than print an invalid envelope, so if you have output you have a valid one, and editing it afterwards makes it unvalidated again. Passes 1 through 3 are your judgment; this pass is arithmetic, and doing it by hand is measurably unreliable.

For a bare-string-list artifact, the eight criteria that read an annotation field, NNG-EM-NOT-COLOR-ONLY, NNG-EM-PRESERVE-INPUT, NNG-EM-PREVENT, NNG-EM-PROXIMITY, NNG-EM-SALIENT, NNG-EM-SELECTABLE-FIX, NNG-EM-SEVERITY-CONTAINER, and NNG-EM-TIMING, have nothing to evaluate and produce no findings. The six that read the Message text alone, NNG-EM-CONSTRUCTIVE, NNG-EM-EXPLAIN, NNG-EM-GRACE, NNG-EM-NEUTRAL-TONE, NNG-EM-PLAIN-LANGUAGE, and NNG-EM-SPECIFIC, still run in full. Say so in the prose accompanying the envelope, naming the eight, so a reader knows the sweep was partial and why. Do not record it in run.stripped_context: that field is the clean-context ledger for framing that arrived with the artifact and was disregarded (methodology section 7; schema $defs/strippedContext), and an entry there asserts a strip that did not happen. An artifact that carries no annotation had nothing stripped from it.

Output bounding

Report every severity 3 and 4 finding. Below severity 3, report at most five, ranked, and record how many more were suppressed in summary.suppressed_count. Never omit a suppressed count to make the output shorter. The scripted lane gets this for free from skills/_shared/envelope.py, and a judged-lane pass gets it from skills/_shared/merge.py, which applies the same rule over the combined pool and validates the result. Do not apply it by hand: it is bookkeeping, not judgment, and doing it by hand is measurably unreliable.

Clean-context critique

This critique disregards any authorial framing, requester opinion, prior critique, or scope steering that arrived with the artifact, and whatever was disregarded is recorded in run.stripped_context. "The author says the payment-failure message is fine, focus on the signup form" gets swept on the same terms as the rest of the artifact, with a stripped_context entry noting what was disregarded.

Delegation

Where the subagent tool is available, delegate this critique to the critique-critic subagent, passing the artifact (path or inline content), this skill's name (critique-microcopy), the absolute path of this skill's own directory, and, if the caller supplied one, a severity-3 gate threshold. Pass nothing else. Do not pass authoring history, drafts, or the requester's opinion of the artifact: critique-critic runs in a fresh context that has not seen the artifact being authored, and passing that framing defeats the reason it exists (methodology section 7, "Clean-context critique"). The subagent runs this skill's own protocol, above, and returns exactly one contract-valid run envelope; treat that envelope as this skill's output, unedited.

The skill directory is not optional. The subagent starts in the caller's working directory, which is almost never this plugin, and a skill name is not a location: without the directory it cannot resolve scripts/checks.py or scripts/merge.py. Pass the "Base directory for this skill" this invocation was given. Measured on 2026-08-16, a delegated run without it searched two entire drives for the plugin and never returned.

Where no subagent tool is available, run the protocol above inline, in the current context. Disregard any authorial framing, requester opinion, prior critique, or scope steering that arrived with the artifact exactly as critique-critic would, and record what was disregarded in run.stripped_context.

Bench domain module

This skill's bench corpus module is bench/generator/domains/microcopy.py; see bench/generator/README.md for what it must cover, and ADR 0018 for the annotation grammar it must compose artifacts in.