research-finance – skill Dữ liệu & Khoa học cho agent AI
Dùng khi quản lý ngân sách cho chương trình hoặc danh mục R&D nội bộ — lập ngân sách chương trình nhiều giai đoạn với phân bổ F&A (gián tiếp), theo dõi burn rate và runway so với các mốc value-inflection, hoặc phân loại chi phí R&D để quyết định vốn hóa hay ghi nhận chi phí. Mọi đầu ra ngân sách đều nêu rõ các giả định
Cài skill research-finance bằng một lệnh
Chọn công cụ bạn đang dùng, copy lệnh và dán vào terminal. Skill sẽ nằm trong thư mục skills của công cụ đó và sẵn sàng dùng ở phiên làm việc tiếp theo.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/research-finance-216bf.tgz | tar xz -C ~/.claude/skills
Gọi trong Claude Code: /research-finance – rồi mô tả công việc bạn muốn làm.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/research-finance-216bf.tgz | tar xz -C ~/.codex/skills
Gọi trong Codex: $research-finance – rồi mô tả công việc bạn muốn làm.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/research-finance-216bf.tgz | tar xz -C ~/.hermes/skills
Gọi trong Hermes Agent: /research-finance – rồi mô tả công việc bạn muốn làm.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/research-finance-216bf.tgz | tar xz -C ~/.deepcode/skills
Gọi trong DeepSeek: /research-finance – rồi mô tả công việc bạn muốn làm.
Nội dung SKILL.md
Nội dung SKILL.md gốc bằng tiếng Anh.
research-finance
Financial management of internal R&D programs and portfolios: program budgeting with F&A, burn/runway tracking, and capitalize-vs-expense routing. Every number ships with its assumptions block, and accounting-treatment calls route to a named finance owner — this skill never books an entry.
Purpose
R&D finance partners, program controllers, and operations leads manage money that has already been allocated or raised — not the corporate close, not the next funding round, not finding a grant. This skill structures three recurring decisions:
Three deterministic tools:
1. program_budget_planner.py — Builds a multi-period budget from work-package line items, applies the F&A (indirect) rate to an MTDC-style eligible base, and rolls up direct / F&A / fully-loaded cost per period with an explicit assumptions block.
2. burn_runway_tracker.py — Computes average + trailing burn, runway in periods/months, and whether each value-inflection milestone is reachable before cash runs out. Flags accelerating burn and below-threshold runway.
3. capex_vs_opex_router.py — Scores each R&D cost item against the IAS 38 development-phase criteria (or flags US GAAP ASC 730 expense-as-incurred) and routes it to CAPITALIZE-CANDIDATE / EXPENSE / FINANCE-OWNER-REVIEW with a named owner. Never auto-decides.
When to use
Invoke this skill when:
- You are building or revising an R&D program budget and need the F&A split made explicit.
- A program's runway is in question and you need a milestone-vs-cash read.
- Finance asks whether a development cost can be capitalized and you need a defensible first routing.
- You are preparing a portfolio review and need per-program burn consistency.
Do NOT use this skill to: run corporate DCF / valuation / close (use finance/financial-analysis), discover or position grants (use research/grants), or make the final accounting determination (that is the controller's + auditor's call — this tool only routes).
Workflow
1. Lay out the program — Fill assets/rd_program_budget_template.md with work-package lines, categories, and per-period amounts.
2. Build the budget — Run program_budget_planner.py --input program.json --profile {pharma-rd|biotech|medtech|deep-tech|software-rd|university-lab} --fa-rate <negotiated rate>. Read direct / F&A / fully-loaded rollups + assumptions.
3. Track burn & runway — Run burn_runway_tracker.py --input ledger.json --threshold-months 6. Read runway + milestone verdicts + flags.
4. Route accounting treatment — Run capex_vs_opex_router.py --input costs.json --standard {ifrs|usgaap}. Read the per-item routing; send CAPITALIZE-CANDIDATE and FINANCE-OWNER-REVIEW items to the named owner.
5. Assemble the review — Combine into a program-finance packet. Every number carries its assumptions; treatment calls carry a named owner.
Scripts
| Script | Purpose | Profiles |
|---|---|---|
| scripts/program_budget_planner.py | Multi-period budget + F&A split + assumptions | pharma-rd, biotech, medtech, deep-tech, software-rd, university-lab |
| scripts/burn_runway_tracker.py | Burn, runway, milestone-vs-cash alignment | n/a (ledger-driven) |
| scripts/capex_vs_opex_router.py | IAS 38 / ASC 730 routing to named finance owner | pharma-rd, biotech, medtech, deep-tech, software-rd, university-lab |
All three: stdlib-only, --help, --sample, --output {human,json}.
Onboarding & customization
Run the onboarding questionnaire once before you start — it captures your defaults so every tool in this skill is pre-configured. Customization is the point: the answers actually change tool behavior.
python3 scripts/onboard.py # interactive (also: --defaults, --set key=value, --reset)
python3 scripts/onboard.py --show # see the questions + current effective configAnswers are saved to ~/.config/research-ops/research-finance.json (global) or ./.research-ops/research-finance.json (--scope project) and are read automatically by config_loader.py. They set the default R&D-area profile, the default F&A rate, the runway alert threshold, the accounting standard, and the named finance owner printed on capitalize-vs-expense routing. CLI flags always override saved config; RESEARCH_OPS_NO_CONFIG=1 ignores it.
The five questions: R&D area · F&A rate · runway threshold · accounting standard · finance owner.
Optimize with autoresearch (opt-in)
This skill ships an isolated, opt-in bridge to engineering/autoresearch-agent. Only when you ask to "optimize" / "extend runway" / "run a loop" does an autoresearch experiment iteratively improve a program plan against this skill's runway metric. scripts/ar_evaluator.py is the ground-truth evaluator; it prints runway_months: <float> (higher is better).
/ar:setup --domain custom --name extend-runway \
--target ledger.json \
--eval "python3 ar_evaluator.py --target ledger.json" \
--metric runway_months --direction higher
/ar:loop custom/extend-runwayIsolated: no hard dependency — autoresearch runs only on demand, and the loop edits ledger.json, never the evaluator.
References
references/rd_program_finance_canon.md— IAS 38 (research vs development); ASC 730 + ASC 985-20; Uniform Guidance 2 CFR 200 (F&A); FASB/IFRS capitalization criteria; NICRA basics.references/burn_and_portfolio.md— Cooper stage-gate; rNPV / real-options for R&D; risk-adjusted portfolio ROI; burn-rate / runway frameworks; milestone-based budgeting.references/indirect_rate_modeling.md— F&A pool composition (facilities + administration); MTDC base; de minimis 10%; fringe/overhead loading; CAS primer.
Assumptions
- The F&A rate is the most error-prone input. The planner applies whatever rate you pass; it warns you to confirm it is a negotiated NICRA, not a guess.
- Burn/runway uses the trailing (recent-weighted) burn as the forward run-rate and assumes flat forward spend unless your ledger encodes a ramp.
- The capex router asserts criteria from your input; asserting "technical feasibility" does not make it true — the named finance owner and auditor validate it.
- Profiles annotate context (e.g., "most drug R&D is expensed") but do not change the accounting test.
Anti-patterns
- Stating a budget number without its assumptions. F&A rate, escalation, and base must travel with the number.
- Auto-deciding capitalize-vs-expense. This tool routes; the controller (and auditor where required) decides.
- Using lifetime-average burn for runway. Recent burn is the honest forward run-rate; averages hide a slowdown or a ramp.
- Applying F&A to the full base. Capital equipment, large subaward portions, and certain categories are MTDC-exempt.
- Confusing this with corporate finance. Valuation, close, and fundraising live in
finance/.
Distinct from
| Sibling / neighbor | Scope | Difference |
|---|---|---|
| finance/financial-analysis | Corporate DCF, ratios, close, rolling forecast, SaaS metrics | That is company-level; this is R&D-program-level |
| research/grants | NIH funding discovery + positioning | That finds funding; this manages money already won |
| clinical-research (sibling) | Study design + feasibility + budget gate-check | That scopes the study; this funds + tracks the program |
| ra-qm-team | Regulatory/QM submission | Unrelated — no financial scope |
Quick examples
python3 scripts/program_budget_planner.py --sample
python3 scripts/program_budget_planner.py --input program.json --profile university-lab --fa-rate 0.585
python3 scripts/burn_runway_tracker.py --sample --output json
python3 scripts/capex_vs_opex_router.py --sample --standard ifrsThe sample budget excludes the sequencer (capital equipment) and CRO subaward from the F&A base; the capex router routes exploratory screening to EXPENSE, a fully-criteria'd pilot line to CAPITALIZE-CANDIDATE, and a partial-criteria software build to FINANCE-OWNER-REVIEW.
Forcing-question library (Matt Pocock grill discipline)
Walked one at a time by /cs-grill-research-ops or the orchestrator. Recommended answer + canon citation per question. Never bundled.
1. "Is this spend in the research phase or the development phase — and can you evidence technical feasibility?"
Recommended: research = expense; development = capitalize-candidate only with feasibility evidence, routed to a named finance owner.
Canon: IAS 38.54-57; ASC 730.
2. "What F&A / indirect rate are you applying, and is it your negotiated NICRA, a de minimis 10%, or an assumption?"
Recommended: use the negotiated rate; if assumed, flag it explicitly.
Canon: 2 CFR 200 (Uniform Guidance); NICRA basics.
3. "What's runway in months at current burn, and does it clear the next value-inflection milestone?"
Recommended: runway must cover the milestone plus a buffer; surface the gap.
Canon: Cooper stage
… (nội dung đầy đủ có trong gói tải về)
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