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Estimate development cost of a codebase based on lines of code and complexity. Use when the user wants to know what the codebase would cost to build from scratch.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Hands off completed work to QA by merging the PR into the integration branch, posting a testing guide on the Fizzy card, moving it to the QA column, assigning Elvis, and syncing qa-mirror. Auto-detects per-repo conventions (integration branch, qa-mirror presence, Supabase migrations). Use after a PR is approved (or pushed direct) and ready for QA testing.
Use when turning a new role, JD, hiring-manager call, transcript, or role-context dump into a recruiter pack for sourcing, LinkedIn/profile scraping, screening, and Vetted audition design.
Use when turning a client role, JD, kickoff call, hiring-manager intake, or recruitment search into a complete role-delivery pack. Applies to VFA/VettedAI/partner hiring work, including role calibration, internal role briefs, candidate-facing JDs, outreach emails, work-sample auditions, scoring rubrics, shortlist workflows, and live working docs.
Sweeps a board's "QA Failed" column, and for each card classifies WHY it failed, verifies that classification against ground truth (git ancestry, deployed-vs-prod, DB state, project rules), then routes it to the right remedy. Most QA-Failed cards are NOT "the code is wrong, re-review it" — they're stale checkouts, environment drift, deploy gaps, or rule-misreads. Use when a batch of cards is stuck in QA Failed and you want to clear them efficiently as the senior engineer.
Optimized for Human+AI Agent workflows. Converts high-level product intent into technical tickets that include file anchors, logic constraints, and verification protocols for coding agents.
Cross-repo engineering productivity analysis with bounty estimation. Use when the user wants contributor stats, PR velocity, workload distribution, team performance snapshots, or bounty payout projections.
| name | cost-estimate |
| description | Estimate development cost of a codebase based on lines of code and complexity. Use when the user wants to know what the codebase would cost to build from scratch. |
| version | 1.0.0 |
You are a senior software engineering consultant tasked with estimating the development cost of the current codebase.
Read the entire codebase to understand:
Use the Glob and Read tools to systematically review:
Language detection: Use find . -type f -name "*.ts" -o -name "*.tsx" -o -name "*.sql" -o -name "*.css" | head -20 to identify the primary languages, then count lines per language using wc -l or cloc if available.
Based on industry standards for a senior full-stack developer (5+ years experience):
Hourly Productivity Estimates:
Additional Time Factors:
Calculate total hours considering:
Use WebSearch to find current 2025-2026 hourly rates for:
Search queries to use:
Real companies don't have developers coding 40 hours/week. Account for typical organizational overhead to convert raw development hours into realistic calendar time.
Weekly Time Allocation for Typical Company:
| Activity | Hours/Week | Notes |
|---|---|---|
| Pure coding time | 20-25 hrs | Actual focused development |
| Daily standups | 1.25 hrs | 15 min x 5 days |
| Weekly team sync | 1-2 hrs | All-hands, team meetings |
| 1:1s with manager | 0.5-1 hr | Weekly or biweekly |
| Sprint planning/retro | 1-2 hrs | Per week average |
| Code reviews (giving) | 2-3 hrs | Reviewing teammates' work |
| Slack/email/async | 3-5 hrs | Communication overhead |
| Context switching | 2-4 hrs | Interruptions, task switching |
| Ad-hoc meetings | 1-2 hrs | Unplanned discussions |
| Admin/HR/tooling | 1-2 hrs | Timesheets, tools, access requests |
Coding Efficiency Factor:
Calendar Weeks Calculation:
Calendar Weeks = Raw Dev Hours / (40 x Efficiency Factor)
Engineering doesn't ship products alone. Calculate the fully-loaded team cost including all supporting roles.
Supporting Role Ratios (expressed as ratio to engineering hours):
| Role | Ratio to Eng Hours | Typical Rate | Notes |
|---|---|---|---|
| Product Management | 0.25-0.40x | $125-200/hr | PRDs, roadmap, stakeholder mgmt |
| UX/UI Design | 0.20-0.35x | $100-175/hr | Wireframes, mockups, design systems |
| Engineering Management | 0.12-0.20x | $150-225/hr | 1:1s, hiring, performance, strategy |
| QA/Testing | 0.15-0.25x | $75-125/hr | Test plans, manual testing, automation |
| Project/Program Management | 0.08-0.15x | $100-150/hr | Schedules, dependencies, status |
| Technical Writing | 0.05-0.10x | $75-125/hr | User docs, API docs, internal docs |
| DevOps/Platform | 0.10-0.20x | $125-200/hr | CI/CD, infra, deployments |
Full Team Multiplier:
Provide a comprehensive estimate in this format:
Analysis Date: [Current Date]
Total Lines of Code: [number]
Complexity Factors:
Base Development Hours: [number] hours
Overhead Multipliers:
Total Estimated Hours: [number] hours
| Company Type | Efficiency | Coding Hrs/Week | Calendar Weeks | Calendar Time |
|---|---|---|---|---|
| Solo/Startup (lean) | 65% | 26 hrs | [X] weeks | ~[X] months |
| Growth Company | 55% | 22 hrs | [X] weeks | ~[X] years |
| Enterprise | 45% | 18 hrs | [X] weeks | ~[X] years |
| Large Bureaucracy | 35% | 14 hrs | [X] weeks | ~[X] years |
Senior Full-Stack Developer Rates (current year):
Recommended Rate for This Project: $[X]/hour
| Scenario | Hourly Rate | Total Hours | Total Cost |
|---|---|---|---|
| Low-end | $[X] | [hours] | $[X,XXX] |
| Average | $[X] | [hours] | $[X,XXX] |
| High-end | $[X] | [hours] | $[X,XXX] |
Recommended Estimate (Engineering Only): $[X,XXX] - $[X,XXX]
| Company Stage | Team Multiplier | Engineering Cost | Full Team Cost |
|---|---|---|---|
| Solo/Founder | 1.0x | $[X] | $[X] |
| Lean Startup | 1.45x | $[X] | $[X] |
| Growth Company | 2.2x | $[X] | $[X] |
| Enterprise | 2.65x | $[X] | $[X] |
Role Breakdown (Growth Company Example):
| Role | Hours | Rate | Cost |
|---|---|---|---|
| Engineering | [X] hrs | $[X]/hr | $[X] |
| Product Management | [X] hrs | $[X]/hr | $[X] |
| UX/UI Design | [X] hrs | $[X]/hr | $[X] |
| Engineering Management | [X] hrs | $[X]/hr | $[X] |
| QA/Testing | [X] hrs | $[X]/hr | $[X] |
| Project Management | [X] hrs | $[X]/hr | $[X] |
| Technical Writing | [X] hrs | $[X]/hr | $[X] |
| DevOps/Platform | [X] hrs | $[X]/hr | $[X] |
| TOTAL | [X] hrs | $[X] |
| Metric | Solo | Lean Startup | Growth Co | Enterprise |
|---|---|---|---|---|
| Calendar Time | [X] | [X] | [X] | [X] |
| Total Human Hours | [X] | [X] | [X] | [X] |
| Total Cost | $[X] | $[X] | $[X] | $[X] |
This answers: "What did each hour of Claude's actual working time produce?"
Method 1: Git History (preferred)
Run git log --format="%ai" | sort to get all commit timestamps. Then:
Method 2: Fallback Estimate
If no reliable timestamps, estimate from lines of code:
Value per Claude Hour = Total Code Value (from Step 5) / Estimated Claude Active Hours
Speed Multiplier:
Speed Multiplier = Human Dev Hours / Claude Active Hours
Cost Efficiency:
Human Cost = Human Hours x Average Rate
Claude Cost = Subscription + API costs
Savings = Human Cost - Claude Cost
ROI = Savings / Claude Cost
Project Timeline:
Claude Active Hours Estimate:
Value per Claude Hour:
| Value Basis | Total Value | Claude Hours | $/Claude Hour |
|---|---|---|---|
| Engineering only | $[X] | [X] hrs | $[X,XXX]/Claude hr |
| Full team (Growth Co) | $[X] | [X] hrs | $[X,XXX]/Claude hr |
Speed vs. Human Developer:
Cost Comparison:
Present the estimate in a clear, professional format suitable for sharing with stakeholders. Include confidence intervals and key assumptions. Highlight areas of highest complexity that drive cost.