Individual skill
clear-my-desk
Triages pending Swan work for a user. Use to prioritize review items, sequence approvals, alerts, and suggestions into act-now, bulk-approve, acknowledge, or investigate buckets.
skills/ido-goldberg/clear-my-desk/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
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## Instructions
**State check.** This skill assumes the caller is the user whose desk is being cleared and that the org actually generates review items and sequence approvals — i.e. at least one play or radar is wired up producing tasks. Run `swan-search-user-tasks` filtered to the caller as the first probe. If nothing comes back across statuses, the desk is empty because no plays are producing work yet, not because the user is on top of it — tell the user and recommend wiring up a radar or play before this skill becomes useful.
### What this skill does
The user has a backlog and wants to clear it in one pass without reading every item. Triage in slices, summarize as you go, never load the whole desk into context. By the time the agent has scanned a few high-signal slices, it should know what's bulk-approvable and what needs attention.
### Step 1 — Scan high-priority items first
Call `swan-search-user-tasks` filtered to the caller, `status: PENDING`, ordered by priority/recency, **page size ≤ 20**. Read the structural preview the agent gets back — it shows the shape (taskType, companyId, age, priority) for the first 20 items.
For each item in this slice, classify in one pass:
