anthropics/financial-services

deal-tracker

Track multiple live deals with milestones, deadlines, action items, and status updates.

Zobacz źródło
Oryginalny dokument Skill

Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.

Deal Tracker

Workflow

Step 1: Deal Setup

For each deal, capture:

  • Deal name / code name: Project [Name]
  • Client: Seller or buyer name
  • Deal type: Sell-side, buy-side, financing, restructuring
  • Role: Lead advisor, co-advisor, fairness opinion
  • Deal size: Expected enterprise value
  • Stage: Pre-mandate → Engaged → Marketing → IOI → Diligence → Final bids → Signing → Close
  • Team: MD, VP, Associate, Analyst assigned
  • Key dates: Engagement date, CIM distribution, IOI deadline, management meetings, final bid deadline, target close

Step 2: Milestone Tracking

Track key milestones per deal:

MilestoneTarget DateActual DateStatusNotes
Engagement letter signed
CIM / teaser drafted
Buyer list approved
Teaser distributed
NDA execution
CIM distributed
IOI deadline
IOIs received / reviewed
Shortlist selected
Management meetings
Data room opened
Final bid deadline
Bids received / reviewed
Exclusivity granted
Confirmatory diligence
Purchase agreement signed
Regulatory approval
Close

Status: On Track / At Risk / Delayed / Complete

Step 3: Action Items

Maintain a running action item list across all deals:

ActionDealOwnerDue DatePriorityStatus
P0/P1/P2Open/Done/Blocked

Step 4: Weekly Deal Review

Generate a summary for weekly team meetings:

For each active deal:

  1. One-line status update
  2. Key developments this week
  3. Upcoming milestones (next 2 weeks)
  4. Blockers or risks
  5. Action items for next week

Pipeline summary:

  • Total active deals by stage
  • Deals at risk (missed milestones, stalled processes)
  • New mandates / pitches in pipeline
  • Expected closings this quarter

Step 5: Output

  • Excel workbook with:
  • Pipeline overview (all deals, one row each)
  • Per-deal milestone tracker tabs
  • Action item master list
  • Weekly review summary
  • Optional: Markdown summary for email/Slack distribution

Important Notes

  • Update the tracker weekly at minimum — stale trackers are worse than no tracker
  • Flag deals where milestones are slipping — early warning prevents surprises
  • Action items without owners and due dates don't get done — be specific
  • The pipeline view should show deal stage, size, and likelihood — useful for revenue forecasting
  • Keep notes on buyer/investor feedback — patterns in feedback inform strategy adjustments
  • Archive closed/dead deals separately — keep the active view clean
z tego samego repozytorium

Więcej Skills

Wszystkie Skills
anthropics
Oficjalne

initiating-coverage

Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier tasks.

instalacje
2
GitHub Stars
38,5 tys.
Aktualizacja
21 wrz
anthropics
Oficjalne

bond-futures-basis

Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.

instalacje
1
GitHub Stars
38,5 tys.
Aktualizacja
21 wrz
anthropics
Oficjalne

catalyst-calendar

Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".

instalacje
1
GitHub Stars
38,5 tys.
Aktualizacja
21 wrz
anthropics
Oficjalne

clean-data-xls

Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on "clean this data", "clean up this sheet", "normalize this data", "fix formatting", "dedupe", "standardize this column", "this data is messy".

instalacje
1
GitHub Stars
38,5 tys.
Aktualizacja
21 wrz