generated: '2026-09-19'
method: searched
source: https://github.com/Aircover/aircover-skills (MIT, Aircover, Inc.) — four provider-published Agent Skills
  saved verbatim; nothing here was generated by this pipeline.
license: MIT
grounding: All four skills call the Aircover remote MCP server (https://api.aircover.ai/mcp) by tool name; they
  are not grounded in REST operationIds because the public OpenAPI models only the JSON-RPC transport and OAuth
  endpoints. The mcp_tools lists below are the tool names each SKILL.md actually invokes.
install: Download the .skill release asset and add it under claude.ai Customize > Skills (or Organization settings
  > Skills) after connecting the Aircover connector; see the repository README.
skills:
- file: aircover-path-to-quota.md
  name: path-to-quota
  method: searched
  source: https://github.com/Aircover/aircover-skills/blob/main/path-to-quota/SKILL.md
  release: https://github.com/Aircover/aircover-skills/releases/download/path-to-quota-v1.0.0/path-to-quota.skill
  released: '2026-06-19'
  digest: sha256:be843c02de732788ee0d54935e2270b59b511a01310b9cd283a6810a6d5a3d28
  description: Build a personalized end-of-quarter pipeline strategy from Aircover meeting data, CRM deal stages,
    MEDDPICC qualification scoring, and Deal Readiness Scorecard (close mechanics). Prompts for quota and EOQ date,
    finds all customer meetings in the quarter, prioritizes deals by qualification depth, close readiness, and meeting
    momentum, and delivers a .docx close plan with embedded charts, per-deal strategies, and next steps
  mcp_tools:
  - agent_results
  - get_deal
  - get_deals
  - get_meeting
  - get_qualification_results
  - list_agents
  - list_meetings
  operations: 7
- file: aircover-pre-call-prep.md
  name: pre-call-prep
  method: searched
  source: https://github.com/Aircover/aircover-skills/blob/main/pre-call-prep/SKILL.md
  release: https://github.com/Aircover/aircover-skills/releases/download/pre-call-prep-v1.0.0/pre-call-prep.skill
  released: '2026-06-10'
  digest: sha256:3e1977c2feb7030472c028fe49566fdb808727b50433dda8318779114d8ffac4
  description: Generate a pre-call prep Word document for an upcoming meeting, pulling the last 2-4 transcripts
    from Aircover Production to build deal context, open action items, stakeholder priorities, landmines, and a
    suggested agenda
  mcp_tools:
  - agent_results
  - get_deal
  - get_deals
  - get_meeting
  - get_meeting_transcript
  - get_qualification_results
  - list_agents
  - list_meetings
  operations: 8
- file: aircover-mutual-action-plan.md
  name: aircover-mutual-action-plan
  method: searched
  source: https://github.com/Aircover/aircover-skills/blob/main/aircover-mutual-action-plan/SKILL.md
  release: https://github.com/Aircover/aircover-skills/releases/download/aircover-mutual-action-plan-v1.0.0/aircover-mutual-action-plan.skill
  released: '2026-06-09'
  digest: sha256:cda92574bc415120433b3314daaa30529ce8864a9e704b4a79e8ffee305c81ef
  description: Generate a completed Mutual Action Plan (MAP) spreadsheet for a deal, pulling the account, opportunity,
    sponsors, target go-live date, and deal progress from the Aircover Production account and filling the team's
    standard MAP template
  mcp_tools:
  - agent_results
  - get_deal
  - get_deals
  - get_meeting
  - get_teams
  - list_agents
  - list_meetings
  operations: 7
- file: aircover-product-sentiment-tracker.md
  name: product-sentiment-tracker
  method: searched
  source: https://github.com/Aircover/aircover-skills/blob/main/product-sentiment-tracker/SKILL.md
  release: https://github.com/Aircover/aircover-skills/releases/download/product-sentiment-tracker-v1.0.0/product-sentiment-tracker.skill
  released: '2026-06-10'
  digest: sha256:bc21d980090e5a0847266eaf1fbbca1f84b8fbc4be5d59834f08a49fb402ef2b
  description: Generate a Customer Product Sentiment report as an Excel workbook from Aircover agent results. Runs
    the Product VoC agent on every external meeting in a date range, writes each result to disk as it goes, aggregates
    signals by account, and outputs a professional .xlsx with Sentiment Highlights, Account Summary, Signal Detail,
    Sentiment Summary, Raw Data, and Agent Properties Guide sheets
  mcp_tools:
  - agent_results
  - list_agents
  - list_meetings
  operations: 3
generated_skills: []