.windsurf/skills/ai-assets/SKILL.md
Create, modify, validate, and analyze Windsurf AI assets such as AGENTS.md files, Windsurf skills, templates, and supporting scripts. Use when building or maintaining the repository's Windsurf-specific AI component package.
npx skillsauth add avav25/ai-assets ai-assetsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Build and maintain Windsurf-native AI assets for this repository. Treat every asset as live Windsurf prompt surface.
Identify:
create | modify | validate | analyzeagents-md | skill | template | checklist | scriptIf the request is ambiguous, resolve it from repository context before asking the user.
Read only the assets needed for the task:
AGENTS.mdAGENTS.md files.windsurf/skills/*/SKILL.md files.windsurf/context-engineering skill when the asset affects prompt layering, memory, RAG, or orchestrationMap outgoing and incoming references.
Check for:
AGENTS.md.windsurf/skills/<name>/.windsurf/skills/ai-assets/.windsurf/hooks/scripts/*For analyze, stop after presenting the dependency map.
Use the smallest asset that matches the job:
AGENTS.md.windsurf/skills/<name>/SKILL.md.windsurf/skills/<skill>/templates/.windsurf/skills/<skill>/checklists/ or companion markdown filesDo not recreate Claude-specific primitives such as agent files, Claude settings, or Claude hook configs.
AGENTS.mdSKILL.mdname and a specific descriptiondescription for correct progressive disclosureReview the asset as live Windsurf context:
Use review-checklist.md for the full validation pass.
Run these checks on every create or modify operation:
SKILL.md remains concise enough for progressive disclosureAGENTS.md guidance is specific, not genericIf the asset changes the Windsurf package structure, update the package README or mapping docs.
Report:
development
Use this skill when running the recurring (daily) knowledge-base rescan for a repo that already has knowledge/.knowledge-sync.yml — the main-thread dispatcher that reads the config, computes the git delta since last_scanned_sha, maps changed paths to affected doc areas, early-exits cheaply when nothing changed, then fans out one Agent(content-writer) per affected area, applies the propose/direct update policy, advances the baseline only on success, and writes an L4 run log — all with the G1 untrusted-content choke-point, secret-scan, deny-list, and budget controls woven in. For first-time setup use /knowledge-sync-init.
development
Use this skill when bootstrapping scheduled knowledge-base sync for a repo that has no knowledge/.knowledge-sync.yml yet — to run one-time setup that detects the knowledge_root from CLAUDE.md/AGENTS.md, maps doc areas to source globs, records opt-in external sources (Linear/Notion/WebFetch, all disabled by default), captures a baseline last_scanned_sha, sets the per-area update policy, generates or seeds knowledge/CONVENTIONS.md, provisions the L4 memory dir, and offers to register the daily routine. Routes ongoing recurring sync operations to /knowledge-sync.
tools
Use this skill when bootstrapping a target repository to be ai-skills-aware — on the first run of any ai-skills workflow in a fresh repo, when adopting the ai-skills plugin in an existing repo, or after upgrading to a plugin version that adds new memory paths or templates, including when the user does not say "init" but asks to "set up" or "onboard" the repo — to detect codebase type, create CLAUDE.md + AGENTS.md scaffolding, initialize the .ai-skills-memory/ directory tree from L1 templates, and configure .gitignore. Idempotent — safe to re-run. Accepts `--codebase-type <type>` and `--overwrite`. Not for re-initializing only memory — use `/memory-init` instead.
tools
Use this skill when extending, repairing, or improving plugin assets, when ingesting a `/feedback` report as a fix-cycle backlog, or when you do not remember which lower-level command is right for the job — the umbrella workflow for ai-skills plugin-asset authoring and maintenance: creating, auditing, fixing, improving, refactoring, and migrating skills, agents, rules, hooks, prompts, schemas, and rubrics inside the plugin. Auto-classifies the request, loads the right knowledge skills (`@prompt-engineering`, `@context-engineering`, `@team-protocols`), and spawns the right subagents (`prompt-engineer`, `system-architect`, `python-engineer`, `software-engineer`, `qa-engineer`, `eval-judge`) via the `Agent` tool.