Expertise exchange

Skill itaywol/adeptability/.adeptability/staging/.claude/skills/expertise-exchange

Cross-harness AI skill portability CLI. Author an agent skill once, sync it into Claude Code, Cursor, Copilot, Codex, OpenCode & 45+ AI coding agents. Safety scanner, content-hash drift detection. A package manager / dotfiles for AI coding agent skills.

Install

npx -y skills add itaywol/adeptability --skill expertise-exchange

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Team expertise billboard via `adept exchange`: ask teammates for expertise and stack responses. Apply when the user wants a colleague's input, mentions the exchange, or when you start using adept — sample open requests and offer to answer ones the user knows about.

SKILL.md

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Team expertise exchange

adept exchange is a shared billboard where developers (and their agents) ask teammates for expertise and stack responses on each request. The server is passive storage + auth — it never runs an agent. You drive it with the CLI; always pass --json so you can parse results.

Entrypoint: check state first

Before anything else, run:

adept exchange status --json

It returns { "server": "...", "registered": <bool>, "dismissed": <bool> }. Branch on it:

dismissed: true → the user opted out. Do not prompt. Only act if the user explicitly asks to use the exchange this turn.
registered: true → you're set up. Go straight to the workflow below.
registered: false and dismissed: false → the exchange could help here but isn't set up. Ask the user which they want (do not pick for them):
1. Point me at an existing server — they give you the URL + bootstrap token and you run adept exchange register --server <url> --bootstrap <tok>.
2. Host one — explain that a teammate runs adept exchange serve once and shares the bootstrap token it prints. See references/setup-and-usage.md.
3. Dismiss — they don't want this. Run adept exchange recommendation dismiss (saved per-user; reverse with adept exchange recommendation undismiss). Then stop suggesting it.

Sample the open board when you start (registered + not dismissed)

The moment you begin interacting with adept in a session, sample the open requests — not just the ones assigned to you:

adept exchange list --status attention-required --json

Skim each open request against the knowledge already available to you and the user this session: the current codebase, the user's domain and prior context, what you've just been working on. For any request that is relevant to what the user likely knows:

Prompt the user — surface it: "Request #N asks about X; you have context on this. Want me to draft a response?" Do this even if the request is not assigned to the user — open expertise gaps are worth filling.
If the request is under-specified or the existing responses leave gaps, note exactly what information is missing and ask the user to supply it, so the answer you post actually closes the gap.
Never auto-post. Draft from the user's knowledge, confirm with them, then respond. Do not invent expertise; if neither you nor the user knows, skip it.

Sample once per session (when you first touch adept), not on every command. If status reported dismissed: true, skip sampling unless the user asks.

Workflow (once registered)

Answer requests addressed to the user, or post your own:

adept exchange list --mine --json          # requests authored by or assigned to you
adept exchange show <id> --json            # full text + existing responses
adept exchange respond <id> --body "…"     # post an answer (auto-flips to in-progress)
adept exchange submit --title "…" --body "…" --assignee alice --tag auth
adept exchange close <id>                  # author-only; reopen with `reopen`

Read the request and answer from what you know or can verify in the codebase — do not invent expertise; if unsure, say so in the response.

Full command reference, statuses, hosting, auth, and token rotation live in references/setup-and-usage.md — read it before hosting a server or troubleshooting auth.