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1. cleanup-deprecated: strip `i-` prefix before fingerprint lookup so
`i-harden` / `i-optimize` classify correctly (regression from the
prefixed-naming migration).
2. build: substitute `{{scripts_path}}` in reference/*.md the same way
it's substituted in SKILL.md. Previously the placeholder survived
unresolved in built reference files, so any reference that told the
agent to run a scripts path emitted a literal `{{scripts_path}}` to
the shell.
3. live-poll: drop the `undici` import. Node's built-in fetch enforces a
300s headers timeout that can't be lowered per-request, so we now cap
each poll slice at 270s and loop internally until a real event or the
caller's total timeout. Removes the hard `ERR_MODULE_NOT_FOUND`
failure when undici isn't transitively hoisted.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
180 lines
6.3 KiB
JavaScript
180 lines
6.3 KiB
JavaScript
import path from 'path';
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import { cleanDir, ensureDir, writeFile, generateYamlFrontmatter, generateYamlDocument, replacePlaceholders } from '../utils.js';
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import { SKILL_CATEGORIES, CATEGORY_ORDER } from '../sub-pages-data.js';
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/**
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* Map from frontmatter field name to extraction spec.
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*
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* - sourceKey: property name on the skill object
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* - yamlKey: key name in YAML frontmatter
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* - condition: if provided, field is only emitted when this returns true
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* - value: if provided, use this instead of skill[sourceKey]
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*/
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const FIELD_SPECS = {
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'user-invocable': {
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sourceKey: 'userInvocable',
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yamlKey: 'user-invocable',
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condition: (skill) => skill.userInvocable,
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value: () => true,
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},
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'argument-hint': {
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sourceKey: 'argumentHint',
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yamlKey: 'argument-hint',
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condition: (skill) => skill.userInvocable && skill.argumentHint,
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},
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license: {
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sourceKey: 'license',
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yamlKey: 'license',
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},
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compatibility: {
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sourceKey: 'compatibility',
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yamlKey: 'compatibility',
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},
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metadata: {
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sourceKey: 'metadata',
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yamlKey: 'metadata',
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},
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'allowed-tools': {
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sourceKey: 'allowedTools',
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yamlKey: 'allowed-tools',
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},
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};
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function humanizeSkillName(name) {
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return name
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.split('-')
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.map(part => part.charAt(0).toUpperCase() + part.slice(1))
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.join(' ');
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}
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function summarizeDescription(description, maxLength = 88) {
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if (!description || description.length <= maxLength) return description;
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const clipped = description.slice(0, maxLength - 1);
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const lastSpace = clipped.lastIndexOf(' ');
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return `${(lastSpace > 48 ? clipped.slice(0, lastSpace) : clipped).trimEnd()}...`;
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}
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function buildOpenAIMetadata(skill) {
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const displayName = humanizeSkillName(skill.name);
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return {
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interface: {
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display_name: displayName,
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short_description: summarizeDescription(skill.description),
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default_prompt: `Use ${displayName} to redesign, critique, audit, or polish this frontend.`,
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},
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};
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}
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/**
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* Create a transformer function for a given provider config.
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*
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* @param {Object} config - Provider configuration from providers.js
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* @returns {Function} transform(skills, distDir, options?)
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*/
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export function createTransformer(config) {
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const { provider, configDir, displayName, frontmatterFields = [], bodyTransform, placeholderProvider, writeOpenAIMetadata = false, includeVersion = true } = config;
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const placeholderKey = placeholderProvider || provider;
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const activeFields = frontmatterFields
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.map((name) => FIELD_SPECS[name])
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.filter(Boolean);
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return function transform(skills, distDir, options = {}) {
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const { skillsVersion = '' } = options;
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const providerDir = path.join(distDir, provider);
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const skillsDir = path.join(providerDir, `${configDir}/skills`);
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cleanDir(providerDir);
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ensureDir(skillsDir);
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const allSkillNames = skills.map((s) => s.name);
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const commandNames = skills
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.filter((s) => s.userInvocable)
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.map((s) => s.name);
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let refCount = 0;
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let scriptCount = 0;
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for (const skill of skills) {
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const skillName = skill.name;
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const skillDir = path.join(skillsDir, skillName);
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// Build frontmatter
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const frontmatterObj = {
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name: skillName,
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description: skill.description,
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};
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if (skillsVersion && includeVersion) frontmatterObj.version = skillsVersion;
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for (const spec of activeFields) {
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if (spec.condition && !spec.condition(skill)) continue;
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const val = spec.value ? spec.value(skill) : skill[spec.sourceKey];
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if (val) frontmatterObj[spec.yamlKey] = val;
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}
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// Replace {{command_hint}} in argument-hint with command names from metadata,
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// grouped by category with middle dots between groups for natural line-breaking.
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if (frontmatterObj['argument-hint']?.includes('{{command_hint}}')) {
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const metaScript = skill.scripts?.find(s => s.name === 'command-metadata.json');
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if (metaScript) {
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const commands = Object.keys(JSON.parse(metaScript.content));
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// Derive groups from SKILL_CATEGORIES, excluding the parent skill name
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const grouped = CATEGORY_ORDER
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.map(cat => commands.filter(c => SKILL_CATEGORIES[c] === cat).join('|'))
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.filter(Boolean)
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.join(' · ');
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frontmatterObj['argument-hint'] = frontmatterObj['argument-hint'].replace(
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'{{command_hint}}',
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grouped
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);
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}
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}
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const frontmatter = generateYamlFrontmatter(frontmatterObj);
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// Build body
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let skillBody = replacePlaceholders(skill.body, placeholderKey, commandNames, allSkillNames);
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// Replace {{scripts_path}} with provider-aware path to skill's scripts directory
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const scriptsPath = `${configDir}/skills/${skillName}/scripts`;
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skillBody = skillBody.replace(/\{\{scripts_path\}\}/g, scriptsPath);
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if (bodyTransform) skillBody = bodyTransform(skillBody, skill);
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const content = `${frontmatter}\n\n${skillBody}`;
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writeFile(path.join(skillDir, 'SKILL.md'), content);
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if (writeOpenAIMetadata) {
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const openaiMetadata = buildOpenAIMetadata(skill);
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writeFile(path.join(skillDir, 'agents', 'openai.yaml'), generateYamlDocument(openaiMetadata));
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}
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// Copy reference files
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if (skill.references && skill.references.length > 0) {
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const refDir = path.join(skillDir, 'reference');
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ensureDir(refDir);
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for (const ref of skill.references) {
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let refContent = replacePlaceholders(ref.content, placeholderKey, [], allSkillNames);
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refContent = refContent.replace(/\{\{scripts_path\}\}/g, scriptsPath);
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writeFile(path.join(refDir, `${ref.name}.md`), refContent);
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refCount++;
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}
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}
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// Copy script files
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if (skill.scripts && skill.scripts.length > 0) {
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const scriptsOutDir = path.join(skillDir, 'scripts');
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ensureDir(scriptsOutDir);
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for (const script of skill.scripts) {
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writeFile(path.join(scriptsOutDir, script.name), script.content);
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scriptCount++;
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}
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}
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}
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const skillWord = skills.length === 1 ? 'skill' : 'skills';
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const refInfo = refCount > 0 ? ` (${refCount} reference files)` : '';
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const scriptInfo = scriptCount > 0 ? ` (${scriptCount} script files)` : '';
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console.log(`✓ ${displayName}: ${skills.length} ${skillWord}${refInfo}${scriptInfo}`);
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};
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}
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