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Author agent skills

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/author-agent-skills

Runs workflows to author, route, and scale agent skills — SKILL.md structure, description-driven discovery, progressive disclosure, and team distribution. Use when the user writes Cursor/Claude/Codex skills, replaces bloated rules files, or says "author skill", "skill.md", "skills at scale", "agent routing".From its SKILL.md

Install
npx -y skills add hiteshbandhu/skills-i-use --skill author-agent-skills

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

0.7 KB, 97 tokens by cl100k_base, as published. Nobody here has run it

Author agent skills

Playbook from Nick Nisi & Zack Proser (WorkOS workshop). workflows.md.

├─ Author a new skill (frontmatter + body)     → A
├─ Improve routing via description            → B
├─ Progressive disclosure layout              → C
└─ Distribute/version across repos            → D

Source: playlists/workos-ai-engineer/.

What ships with it: 3 files

2.3 KB alongside SKILL.md

Gives 0 of the 12 instructions most context ai engineering skills give in 97 tokens

Counted across 1,328 of the 2,349 authors here whose files we hold, read 2026-09-06

  • Dispatch a fresh subagent for each taskin 76 of 1328, across 59 files
  • Perform spec compliance review before code quality reviewin 44 of 1328, across 34 files
  • Dispatch a final code reviewer after all tasksin 38 of 1328, across 26 files
  • Answer subagent questions before allowing implementationin 36 of 1328, across 26 files
  • Use the least powerful model capable of the taskin 33 of 1328, across 26 files
  • Create a TodoWrite list for all tasksin 32 of 1328, across 22 files
  • Perform a task review after each implementationin 31 of 1328, across 24 files
  • Extract all tasks and context from the planin 29 of 1328, across 20 files
  • Provide full task text to subagentsin 28 of 1328, across 20 files
  • Use git worktrees for isolated workspacesin 25 of 1328, across 20 files
  • Specify the model explicitly when dispatching a subagentin 23 of 1328, across 18 files
  • Execute all tasks from the plan without stoppingin 21 of 1328, across 16 files

Said here and by no other author read

  • Author new skills with frontmatter and body
  • Improve routing using skill descriptions
  • Use progressive disclosure layout
  • Distribute and version skills across repositories

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.