メニュー
Compute hybrid software bid estimates with best/base/worst person-month ranges and fixed-price/T&M cost ranges using WBS complexity multipliers and capped risk buffers.
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
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
ALWAYS activate before implementing ANY feature, plan, or fix.
Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, multi-layer validation, log analysis, CI/CD failures, database diagnostics, system investigation.
ALWAYS activate before fixing ANY bug, error, test failure, CI/CD issue, type error, lint, log error, UI issue, code problem.
Unified knowledge retrieval skill. Build traceable answers from git, MCP, and memory files.
Plan implementations, design architectures, create technical roadmaps with detailed phases.
| name | bid-estimator |
| description | Compute hybrid software bid estimates with best/base/worst person-month ranges and fixed-price/T&M cost ranges using WBS complexity multipliers and capped risk buffers. |
Estimate effort and cost ranges using deterministic formulas.
low=0.85, medium=1.0, high=1.2530%best=0.85*base, worst=1.30*basebase_pm * blended_monthly_rate * 1.15sum(role_pm * role_monthly_rate)python bid-estimator/scripts/calc_estimate.py \
--wbs-json bid-estimator/references/wbs.sample.json \
--rate-card bidding-orchestrator/examples/rate_card.sample.yaml