nanocoai/nanoclaw/.claude/skills/add-linear/SKILL.md
add-linear
Add Linear channel integration via Chat SDK. Issue comment threads as conversations.
- Source repository stars
- 30,427
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-08-04
- Source checked
- 2026-08-04
Decision brief
What it does—and where it fits
Adds Linear support via the Chat SDK bridge. The agent participates in issue comment threads. Every comment on a Linear issue triggers the agent — no @-mention needed. NanoClaw doesn't ship channels in trunk — this skill copies the Linear adapter in from the channels branch.
Not for
- Comments never reach the agent. New Linear webhooks can lag 1–5 minutes, so wait before digging. Then check the webhook in Linear Settings → API → Webhooks: the URL must be your public host at /webhook/linear (shared we…
- OAuth credentials rejected. The Client ID and Secret come from Linear Settings → API → OAuth Applications, and the app must have Client credentials enabled under grant types after creation — without that toggle the toke…
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/nanocoai/nanoclaw --skill ".claude/skills/add-linear"Inspect the Agent Skill "add-linear" from https://github.com/nanocoai/nanoclaw/blob/8d04fde18fe071ce0b4870dc3094b66e2a29dcfe/.claude/skills/add-linear/SKILL.md at commit 8d04fde18fe071ce0b4870dc3094b66e2a29dcfe. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Prerequisites
Recommended: Create a Linear OAuth application so the agent posts as an app identity, not as you. This prevents the adapter from filtering your own comments as self-messages.
Go to Linear Settings API OAuth ApplicationsCreate an app (e.g. "NanoClaw Bot")Developer URL: your repo URL (e.g. https://github.com/your-org/nanoclaw) - 02
Apply
Linear OAuth apps post and read comments under an app identity that can't be @-mentioned; the adapter's declared channel defaults therefore respond to plain comments rather than mention-only, and the wiring below sets that same pattern mode explicitly.
Linear OAuth apps post and read comments under an app identity that can't be @-mentioned; the adapter's declared channel defaults therefore respond to plain comments rather than mention-only, and the wiring below sets t…Fetch the channels branch and copy the Linear adapter and its registration test into src/channels/ (overwrite — the branch is canonical):Append the self-registration import to the channel barrel (skipped if the line is already present). This one line is the skill's only reach-in into the channel registry: - 03
1. Copy the adapter and its registration test
Fetch the channels branch and copy the Linear adapter and its registration test into src/channels/ (overwrite — the branch is canonical):
Fetch the channels branch and copy the Linear adapter and its registration test into src/channels/ (overwrite — the branch is canonical): - 04
2. Register the adapter
Append the self-registration import to the channel barrel (skipped if the line is already present). This one line is the skill's only reach-in into the channel registry:
Append the self-registration import to the channel barrel (skipped if the line is already present). This one line is the skill's only reach-in into the channel registry: - 05
3. Install the adapter package
Pinned to an exact version — the supply-chain policy rejects ranges and latest:
Pinned to an exact version — the supply-chain policy rejects ranges and latest:
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 88/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 30,427 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- nanocoai/nanoclaw
- Skill path
- .claude/skills/add-linear/SKILL.md
- Commit
- 8d04fde18fe071ce0b4870dc3094b66e2a29dcfe
- License
- MIT
- Collected
- 2026-08-04
- Default branch
- main
View the original SKILL.md
Add Linear Channel
Adds Linear support via the Chat SDK bridge. The agent participates in issue
comment threads. Every comment on a Linear issue triggers the agent — no
@-mention needed. NanoClaw doesn't ship channels in trunk — this skill copies the
Linear adapter in from the channels branch.
The mechanical steps under Apply carry nc: directive fences: an agent reads
the prose and applies them, and a parser can apply them deterministically from
the same document. Every directive is idempotent, so the whole skill is safe to
re-run; anything a parser can't apply falls back to the prose beside it.
Prerequisites
Recommended: Create a Linear OAuth application so the agent posts as an app identity, not as you. This prevents the adapter from filtering your own comments as self-messages.
- Go to Linear Settings > API > OAuth Applications
- Create an app (e.g. "NanoClaw Bot")
- Developer URL: your repo URL (e.g.
https://github.com/your-org/nanoclaw) - Callback URL:
http://localhost
- Developer URL: your repo URL (e.g.
- After creating, click the app and enable Client credentials under grant types
- Copy the Client ID and Client Secret
Alternative: Use a Personal API Key (LINEAR_API_KEY) for simpler setup. The agent will post as you, and your own comments will be filtered (other team members' comments still work).
Apply
Linear OAuth apps post and read comments under an app identity that can't be @-mentioned; the adapter's declared channel defaults therefore respond to plain comments rather than mention-only, and the wiring below sets that same pattern mode explicitly.
1. Copy the adapter and its registration test
Fetch the channels branch and copy the Linear adapter and its registration
test into src/channels/ (overwrite — the branch is canonical):
src/channels/linear.ts
src/channels/linear-registration.test.ts
2. Register the adapter
Append the self-registration import to the channel barrel (skipped if the line is already present). This one line is the skill's only reach-in into the channel registry:
import './linear.js';
3. Install the adapter package
Pinned to an exact version — the supply-chain policy rejects ranges and latest:
@chat-adapter/[email protected]
4. Build and validate
Build first: it guards the typed createChatSdkBridge(...) core call and proves
the dependency is installed. Then run the one integration test.
pnpm run build
pnpm exec vitest run src/channels/linear-registration.test.ts
Both must be clean before proceeding. linear-registration.test.ts imports the
real channel barrel and asserts the registry contains linear. It goes red if
the import './linear.js'; line is deleted or drifts, if the barrel fails to
evaluate, or if @chat-adapter/linear isn't installed (the import throws) — so
it also covers the dependency from step 3. End-to-end message delivery against a
real Linear workspace is verified manually once the service is running — see
Wiring and Next Steps.
Credentials
Linear app and webhook setup is human and interactive — these steps are prose (no parser can click through the Linear UI), except the final env write.
1. Set up a webhook
- Go to Linear Settings > API > Webhooks > New webhook
- Label:
NanoClaw - URL:
https://your-domain/webhook/linear(the shared webhook server, default port 3000) - Team: select the team you want to monitor
- Events: check Comment
- Save — copy the signing secret
Note: Linear webhook delivery may be delayed 1-5 minutes for new webhooks. This is normal.
2. Store the credentials
Capture the values, then write them. prompt only asks and binds the answer
to a name; a separate directive consumes it. Here they go to .env
(set-if-absent — a value you've already filled in is never overwritten) and sync
to the container.
Use either the OAuth app credentials (recommended) or a Personal API key.
For the API-key path, paste none at the OAuth prompts and set LINEAR_API_KEY
in .env by hand (commented in the template below). LINEAR_BOT_USERNAME is the
display name for the bot, used for self-message detection when using a Personal
API Key. LINEAR_TEAM_KEY is the Linear team key (e.g. ENG, NAN) — find it
in Linear under Settings > Teams; all issues in this team route to one messaging
group.
Paste the OAuth Client ID — Linear Settings > API > OAuth Applications. Paste `none` if using a Personal API key instead.
Paste the OAuth Client Secret. Paste `none` if using a Personal API key instead.
Paste the webhook signing secret from the webhook you just created.
Enter the Linear team key (e.g. `ENG`, `NAN`) — Settings > Teams.
Enter the bot display name (e.g. `NanoClaw Bot`).
LINEAR_CLIENT_ID={{linear_client_id}}
LINEAR_CLIENT_SECRET={{linear_client_secret}}
LINEAR_WEBHOOK_SECRET={{linear_webhook_secret}}
LINEAR_TEAM_KEY={{linear_team_key}}
LINEAR_BOT_USERNAME={{linear_bot_username}}
If you went the Personal API key route, add this line to .env instead of the
OAuth pair (agent posts as you, your own comments are filtered):
LINEAR_API_KEY=lin_api_...
Wiring
Linear is team-routed: the assistant watches one team and answers every comment
on its issues (it can't be @-mentioned). Wire the team you set up to an agent —
pick which one should answer (ncl groups list shows their folders). The host
service must be running — ncl connects to it over a Unix socket.
The sender policy depends on the workspace: a private workspace can use public
(only workspace members can comment anyway); a public workspace should use
strict so only registered members may talk to the agent.
Which agent should answer Linear comments? Enter its folder (run `ncl groups list`).
Is this a private or public Linear workspace? Enter `public` for a private workspace (only members can comment) or `strict` for a public workspace (only registered members may talk to the agent).
ncl messaging-groups create --channel-type linear --platform-id linear:{{linear_team_key}} --is-group 1 --unknown-sender-policy {{linear_sender_policy}} --name {{linear_team_key}}
ncl wirings create --channel-type linear --platform-id linear:{{linear_team_key}} --agent-group {{agent_folder}} --engage-mode pattern --engage-pattern . --session-mode per-thread
The explicit pattern engage mode with pattern . matches the Linear adapter's
declared channel defaults — Linear can't be @-mentioned, so the agent answers
every comment. Each issue thread becomes its own conversation. There's no
welcome — Linear has no direct message, so the assistant greets people when it
first answers a comment. If you chose strict, register the people who may talk
to the agent (see the GitHub skill for adding members).
Next Steps
If you're in the middle of /setup, return to the setup flow now.
Otherwise, restart the service to pick up the new channel.
Run from your NanoClaw project root:
source setup/lib/install-slug.sh
launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOS
systemctl --user restart $(systemd_unit) # Linux
Channel Info
- type:
linear - terminology: Linear has "teams" containing "issues." Each issue's comment thread is a separate conversation.
- how-to-find-id: The platform ID is
linear:<TEAM_KEY>(e.g.linear:ENG). Find your team key in Linear under Settings > Teams. Each issue becomes its own thread automatically. - supports-threads: yes (issue comment threads are native conversations)
- typical-use: Webhook-driven — the agent receives all issue comment events and responds automatically. No @-mention needed (Linear OAuth apps can't be @-mentioned).
- default-isolation: Use
per-threadsession mode. Each issue comment thread gets its own isolated agent session.
Troubleshooting
Comments never reach the agent. New Linear webhooks can lag 1–5 minutes, so wait before digging. Then check the webhook in Linear Settings → API → Webhooks: the URL must be your public host at /webhook/linear (shared webhook server, port 3000), the right team selected, and the Comment event checked. A mismatch between the webhook's signing secret and LINEAR_WEBHOOK_SECRET makes deliveries fail signature verification silently — re-copy the secret from the webhook page.
OAuth credentials rejected. The Client ID and Secret come from Linear Settings → API → OAuth Applications, and the app must have Client credentials enabled under grant types after creation — without that toggle the token exchange 401s. If you meant to use a Personal API key instead, answer none at both OAuth prompts and set LINEAR_API_KEY in .env by hand.
The agent ignores your own comments. That's Personal-API-key mode working as designed: comments from the key's account are filtered as self-messages so the bot doesn't answer itself. Other members' comments still trigger it; if it must answer you too, switch to the OAuth app identity.
Sender-policy answer rejected, or issues route nowhere. The policy must be exactly public or strict (lowercase), and LINEAR_TEAM_KEY must be the short team key (e.g. ENG) from Settings → Teams — all issues in that one team route to the messaging group.
Wired but dead. Run pnpm exec vitest run src/channels/linear-registration.test.ts — red means the barrel import or the @chat-adapter/linear install drifted, so re-run the Apply steps. If green, restart the service (see Next Steps) so the adapter and .env values are live.
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