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Get Started Free →Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.
.claude/skills/composiohq-lever-automation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 70% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 104% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 86% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 52% | 0% |
| case-01 | ✓→✓ | = Same ✓ | 149% | 0% |
Automate your recruiting operations in Lever ATS directly from Claude Code. Manage job postings, track candidate pipelines, update requisitions, and query opportunities without leaving your terminal.
Toolkit docs: composio.dev/toolkits/lever
https://rube.app/mcp
Retrieve all job postings with optional filtering by state, team, department, location, or commitment type.
Tool: LEVER_LIST_POSTINGS
Key parameters:
state -- filter by published, internal, closed, draft, pending, rejectedteam, department, location, commitment -- narrow results by organizational attributeslimit (1-100) and offset -- paginate through large posting setstag -- filter by posting tagExample prompt: "List all published engineering job postings in Lever"
List all opportunities in the hiring pipeline with rich filtering for pipeline analysis and candidate tracking.
Tool: LEVER_LIST_OPPORTUNITIES
Key parameters:
posting_id, stage_id, tag -- filter by posting, pipeline stage, or tagemail, contact_id -- find opportunities for a specific candidatearchived -- filter by archived status (true/false)created_at_start, created_at_end -- date range filtering (ISO 8601)expand -- expand applications, contact, owner, stage, stageChanges, sources, sourcedBy into full objectsExample prompt: "Show me all active opportunities for the Senior Engineer posting, expanded with contact details"
Fetch comprehensive details about a single candidate opportunity including contact info, stage progression, sources, and applications.
Tool: LEVER_GET_OPPORTUNITY
Key parameters:
opportunity (required) -- the unique opportunity UIDexpand -- comma-separated fields to expand: contact, stage, ownerExample prompt: "Get full details for opportunity 31c9716c-d4e3-47e8-a6a1-54078a1151d6 with contact and stage expanded"
Create, list, update, and delete requisitions to track headcount and hiring needs.
Tools: LEVER_LIST_REQUISITIONS, LEVER_GET_REQUISITION, LEVER_UPDATE_REQUISITION, LEVER_DELETE_REQUISITION
Update requires these fields:
requisition (required) -- UUID of the requisitionrequisitionCode (required) -- unique code like REQ-001name (required) -- requisition titleheadcountTotal (required) -- number of positions (minimum 1)status -- open or closedhiringManager, owner, department, team, location, compensationBandExample prompt: "Update requisition REQ-001 to increase headcount to 3 and change status to open"
Retrieve all hiring pipeline stages configured in your Lever account.
Tool: LEVER_LIST_STAGES
Key parameters:
limit (1-100) -- max items per pageoffset -- pagination token from previous responseExample prompt: "List all pipeline stages in our Lever account"
List all tags used to categorize candidates, opportunities, and postings.
Tool: LEVER_LIST_TAGS
Key parameters:
limit -- max items per pageoffset -- pagination tokenExample prompt: "Show all candidate tags in Lever"
LEVER_LIST_OPPORTUNITIES and LEVER_LIST_POSTINGS default to 100 results max per page. Always check for an offset token in the response and iterate to get complete results.expand field on LEVER_LIST_OPPORTUNITIES accepts an array of strings, while on LEVER_GET_OPPORTUNITY and LEVER_GET_REQUISITION it accepts a comma-separated string. Follow the exact schema for each tool.LEVER_UPDATE_REQUISITION requires all mandatory fields (requisitionCode, name, headcountTotal) even if you only want to change one field. Always fetch the current requisition first with LEVER_GET_REQUISITION.LEVER_LIST_POSTINGS uses Unix timestamps in milliseconds for updated_at_start.| Tool Slug | Description | |---|---| | LEVER_LIST_POSTINGS | List all job postings with filtering by state, team, department | | LEVER_LIST_OPPORTUNITIES | List candidate opportunities with pipeline filtering | | LEVER_GET_OPPORTUNITY | Get detailed info for a single opportunity | | LEVER_GET_REQUISITION | Retrieve a single requisition by ID | | LEVER_LIST_REQUISITIONS | List all requisitions with status/code filtering | | LEVER_UPDATE_REQUISITION | Update an existing requisition (full replacement) | | LEVER_DELETE_REQUISITION | Delete/archive a requisition | | LEVER_LIST_STAGES | List all pipeline stages | | LEVER_LIST_TAGS | List all tags for categorization |
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| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | fail→fail | 6,175 | 4,557 | -26% | 1 | 1 | 0% | 1,081 | 1,744 | +61% | 0 | 0 | — |
case-01 | pass→pass | 4,383 | 3,366 | -23% | 1 | 1 | 0% | 866 | 2,160 | +149% | 0 | 0 | — |
case-02 | pass→pass | 7,048 | 3,374 | -52% | 1 | 1 | 0% | 898 | 2,271 | +153% | 0 | 0 | — |
case-03 | fail→pass | 7,388 | 5,120 | -31% | 1 | 1 | 0% | 1,531 | 2,600 | +70% | 0 | 0 | — |
case-04 | fail→fail | 7,498 | 3,120 | -58% | 1 | 1 | 0% | 620 | 2,019 | +226% | 0 | 0 | — |
case-05 | fail→fail | 8,732 | 2,596 | -70% | 1 | 1 | 0% | 849 | 1,870 | +120% | 0 | 0 | — |
case-07 | fail→fail | 7,215 | 4,686 | -35% | 1 | 1 | 0% | 1,635 | 1,905 | +17% | 0 | 0 | — |
case-08 | fail→pass | 5,567 | 5,905 | +6% | 1 | 1 | 0% | 1,396 | 2,850 | +104% | 0 | 0 | — |
case-09 | fail→pass | 5,868 | 3,048 | -48% | 1 | 1 | 0% | 1,136 | 2,111 | +86% | 0 | 0 | — |
case-10 | pass→pass | 9,288 | 3,118 | -66% | 1 | 1 | 0% | 1,792 | 2,072 | +16% | 0 | 0 | — |
case-11 | fail→fail | 5,729 | 1,103 | -81% | 1 | 1 | 0% | 938 | 1,628 | +74% | 0 | 0 | — |
case-12 | fail→fail | 8,816 | 1,356 | -85% | 1 | 1 | 0% | 1,804 | 1,658 | -8% | 0 | 0 | — |
case-13 | fail→fail | 3,708 | 2,685 | -28% | 1 | 1 | 0% | 638 | 1,884 | +195% | 0 | 0 | — |
case-14 | fail→fail | 6,734 | 4,064 | -40% | 1 | 1 | 0% | 1,284 | 1,622 | +26% | 0 | 0 | — |
case-15 | fail→fail | 1,967 | 4,516 | +130% | 1 | 1 | 0% | 281 | 1,731 | +516% | 0 | 0 | — |
case-16 | fail→fail | 5,815 | 3,034 | -48% | 1 | 1 | 0% | 1,084 | 2,024 | +87% | 0 | 0 | — |
case-17 | fail→fail | 7,658 | 2,578 | -66% | 1 | 1 | 0% | 1,535 | 1,777 | +16% | 0 | 0 | — |
case-18 | fail→fail | 7,132 | 2,225 | -69% | 1 | 1 | 0% | 1,363 | 1,701 | +25% | 0 | 0 | — |
case-19 | fail→fail | 2,767 | 2,067 | -25% | 1 | 1 | 0% | 419 | 1,568 | +274% | 0 | 0 | — |
case-20 | fail→pass | 5,934 | 2,481 | -58% | 1 | 1 | 0% | 1,317 | 2,006 | +52% | 0 | 0 | — |
case-21 | fail→fail | 10,110 | 2,121 | -79% | 1 | 1 | 0% | 1,830 | 1,702 | -7% | 0 | 0 | — |
case-22 | pass→pass | 8,627 | 2,623 | -70% | 1 | 1 | 0% | 1,685 | 1,995 | +18% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 15 counted toward the lift figure. The other 7 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +18 percentage points is the difference between those two pass rates over the 15 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.