research-finance
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages m
Profile →npx skills add alirezarezvani/claude-skills --skill research-finance --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 e
- Purpose
- When to use
- Workflow
- Scripts
- Onboarding & customization
- Optimize with autoresearch (opt-in)
- References
- Assumptions
- Anti-patterns
- Distinct from
- Quick examples
- Forcing-question library (Matt Pocock grill discipline)
python3 scripts/onboard.py # interactive (also: --defaults, --set key=value, --reset) python3 scripts/onboard.py --show # see the questions + current effective config 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 ifrs
What does the research-finance skill do?
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages m
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill research-finance --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.