opsward-add-recommendation
Add a tech-stack→skill mapping to opsward's recommendation engine in recommend.py, so `opsward recommend` suggests an ecosystem skill when it detects a dependency or framework (e.g. Supabase, FastAPI, Tailwind). Use when extending the curated `_RECOMMENDATIONS` list, adding a new detection signal, or changing where recommended skills are sourced from.
- License 许可
- MIT
- 最近更新
- 2026-11-09
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- dataset-intake
- aliases
- [ "data onboarding", "dataset onboarding", "source intake" ]
- version
- 1.0.0
- triggers
- [ "use this customer export", "onboard this dataset", "use these files", "ingest this corpus", "connect this data source" ]
- namespace
- aiwg
- platforms
- [ "all" ]
- description
- Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.
03 SKILL.md 正文
Dataset Intake
Accept a source path/URI and desired outcome. Default the calling domain to
project-local; SDLC, research, knowledge-base, media, marketing, and ops use
the same envelope and may add only namespaced extensions.
Create a dataset-intake/v1 envelope without opening the source. Record opaque
source locator, outcome, domain, known privacy/locality/network constraints,
authorization references, and independently requested capabilities (search,
traceability, provenance, graph, export). Do not infer credential
values. Then propose aiwg dataset preview <source> --json and hand the intake
reference to dataset-source-assess.
For a question about existing normalized AI session history, route inspection to
session-explore before proposing a new dataset. A separately requested export
or derived index can enter this intake using its approved source/evidence
references, privacy constraints and intended outcome. Do not scan provider homes
or treat catalog inspection as approval to copy transcripts into another store.
04 同仓库更多 Skills
my-skill
暂无简介
opsward
Run opsward to assess and improve this project's AI agent setup. Use when the user says 'opsward', 'check my setup', 'improve my AI config', or wants a full audit and remediation.
opsward-subagents
Decide which of a repo's skills should also run as subagents (in their own context), declare it in each skill's frontmatter, and generate or refresh the twin agent files with opsward. Use when a skill does bulky or read-heavy work whose output should stay out of the main context, when a skill needs a tool restriction or a cheaper model, when a hand-written agent duplicates a skill, when `opsward maintain` reports a `subagent_twin` finding, or when asked "should this skill be a subagent", "make this skill usable as a subagent", "generate agents from skills", or to sweep a repo for skill/agent pairs. Also usable as a subagent itself.
opsward-maintain
Check documentation and AI setup for staleness, drift, or inconsistency. Use when the user asks to maintain, refresh, or update project docs and AI configuration.
opsward-generate
Generate missing AI setup artifacts for this project. Use when the user asks to scaffold, create, or bootstrap CLAUDE.md, docs, skills, or agent configuration.
opsward-diagnose
Diagnose the health of this project's AI agent setup. Use when the user asks to check, audit, or score the project's CLAUDE.md, skills, docs, or agent configuration.