longlist

Only stop to ask the user when: the project description, counterfactual, or sponsor is missing. Never stop to ask about: sector detection, lens choice, formatting, table layout, output filename, or which methods to use. Pick sensible defaults and keep moving.

Before starting, run this silently. If it outputs UPDATE_AVAILABLE, tell the user: "A new version of econstack is available. Run cd ~/.claude/skills/econstack && git pull to update." Then continue with the skill normally.

~/.claude/skills/econstack/bin/econstack-update-check 2>/dev/null || true

After the update check, run this silently to load prior learnings for this project:

eval "$(~/.claude/skills/econstack/bin/econstack-slug)"
~/.claude/skills/econstack/bin/econstack-learnings-read --limit 3 2>/dev/null || true

If learnings are found, apply them. When a prior learning influences a decision, note: "Prior learning applied: [key]".

Capturing new learnings: After completing this skill, log new insights via:

~/.claude/skills/econstack/bin/econstack-learnings-log '{"skill":"...","type":"...","key":"...","insight":"...","confidence":N,"source":"observed|user-stated|inferred"}'

Types: framework (preferred appraisal framework), parameter (custom overrides), data-source (preferred data), output (past report references), operational (tool/env quirks), preference (formatting/style). Confidence: 9-10 observed/stated, 6-8 strong inference, 4-5 weak. User-stated never decays; observed/inferred lose 1 point per 30 days. All data stored locally. Nothing transmitted.

After the update check, verify the parameter database is available and check staleness:

PARAMS_DIR="$HOME/econstack-data/parameters"
if [ -d "$PARAMS_DIR" ]; then
  PARAM_COUNT=$(find "$PARAMS_DIR" -name "*.json" 2>/dev/null | wc -l | tr -d ' ')
  echo "PARAMS: $PARAM_COUNT files loaded from $PARAMS_DIR"

  # Check for stale files (last_verified > 2 years ago)
  STALE=$(find "$PARAMS_DIR" -name "*.json" -mtime +730 2>/dev/null | wc -l | tr -d ' ')
  if [ "$STALE" -gt 0 ]; then
    echo "PARAMS_WARNING: $STALE file(s) not updated in 2+ years. Run: cd ~/econstack-data && git pull"
  fi
else
  echo "PARAMS: not found. Using built-in defaults. For full parameter support: git clone https://github.com/charlescoverdale/econstack-data.git ~/econstack-data"
fi

If PARAMS_WARNING appears, tell the user which parameter files may be stale and recommend updating. Continue with the skill normally using whatever parameters are available.

Safety rules for this skill:

1. Parameter database is read-only. Never write to, modify, or delete files in ~/econstack-data/parameters/. These are shared, versioned parameters maintained separately. If a parameter needs updating, tell the user to update the econstack-data repo.

2. Confirm before overwriting. Before writing an output file, check if a file with the same name already exists. If it does, ask the user: "A file named [filename] already exists. Overwrite it, or save with a new name?" Do not silently overwrite.

At the end of every skill run, report one of these statuses:

• DONE: Analysis complete, output generated, all sections finished.
• DONE_WITH_CONCERNS: Output generated but with caveats (e.g., data gaps, assumptions that need review, sections below expected depth).
• BLOCKED: Cannot proceed (e.g., missing critical input, parameter database unavailable, framework not supported).
• NEEDS_CONTEXT: Need more information from the user before continuing.

Format: STATUS: [status] | [one-line reason]

/longlist: Benefits and Costs Longlist

The pre-CBA brainstorming skill. Produces a single clean longlist of benefits and costs for a project, with materiality (H/M/L), how to quantify each item, and how to monetise it. Designed to hand straight off to any downstream CBA or business case workflow.

The output is two tables. That is the whole skill.

Arguments

/longlist [project description] [options]

Examples:

/longlist "New secondary school in Leeds"
/longlist "Climate adaptation via city greening, Milan"
/longlist "Mandatory climate disclosure for large EU firms" --framework eu-brg
/longlist "Victorian level crossing removal" --framework au-vic
/longlist "Rural water supply project, Indonesia" --framework adb
/longlist "Urban transport upgrade, Nairobi" --framework wb
/longlist "Rural broadband rollout" --benefits-only

Options:

• --framework <name> : uk-gb (default), eu-brg, wb, adb, or au-vic. Auto-detected from context if not set.
• --sponsor <type> : government (default), private, blended, philanthropic. Drives the Cash flow column. Anchors what counts as cash on whose books. See Step 1.
• --section <name> : Emit only one sub-component. Options: full (default), benefits (benefits table only), costs (costs table only), summary (cash flow summary only). Combinable with commas.
• --benefits-only / --costs-only : Legacy aliases. Equivalent to --section benefits and --section costs.
• --format <type> : Output format(s). Options: markdown (default, always generated), xlsx, word, pptx, pdf, or all. Comma-separate for multiple.
• --client "Name" : Add "Prepared for" metadata to the output.

Supported frameworks

Flag	Framework	Use when
uk-gb	UK HM Treasury Green Book (2022, with Wellbeing supplementary 2021)	Default. Public investment, infrastructure, programmes, place-based interventions. Categories: cash-releasing, non-cash quantifiable, qualitative, distributional, wellbeing, carbon.
eu-brg	EU Better Regulation Guidelines (2021, SWD(2021) 305)	Regulations and EU-level interventions. Categories: economic, social, environmental, fundamental rights, SMEs, competitiveness. Compliance costs via Standard Cost Model. Companion methodology in the Better Regulation Toolbox.
wb	World Bank Economic Analysis of Investment Operations (OP 10.04; 2023 Technical Note)	World Bank-financed projects in low and middle income countries. Economic rate of return (ERR), economic NPV at country-specific discount rate, distributional incidence, poverty impact, incremental approach. Standard shadow pricing for tradables, non-tradables, labour.
adb	Asian Development Bank Guidelines for the Economic Analysis of Projects (2017 revision)	ADB-financed projects in Asia and the Pacific. Economic internal rate of return (EIRR), 9% hurdle rate (reducible to 6% for climate, health, education), poverty and distributional analysis, willingness-to-pay for non-traded outputs.
au-vic	Victorian Treasury High Value High Risk (HVHR) framework	Victorian Government projects above the HVHR threshold (typically AUD 100m capital, or otherwise designated high risk). Six-gate assurance process. Benefits expressed against an Investment Logic Map (ILM) and a Benefit Management Plan with named owners, KPIs, baselines, targets, and realisation timeframes. Disbenefits captured explicitly. ATAP M1 applies for transport sub-cases.

Auto-detection rules:

• Mentions of "HVHR", "Investment Logic Map", "ILM", "Victorian Government", "Victoria", "Melbourne", "Geelong", or AUD with Victorian context -> au-vic
• Mentions of "ADB", "Asian Development Bank", or Asian DMC context (Pakistan, Bangladesh, Indonesia, Philippines, Vietnam, Nepal, Sri Lanka, Pacific Islands) with project finance framing -> adb
• Mentions of "World Bank", "IBRD", "IDA", "IFC project", or Africa / Latin America public investment context -> wb
• Mentions of "regulation", "RIA", "compliance cost", "directive", "EU", "EUR", "Member State", "SMEs", "Brussels", "EC", "ESMA" -> eu-brg
• Everything else -> uk-gb

Instructions

Step 1: Get project description, counterfactual, and sponsor

Ask the user in ONE AskUserQuestion batch. If the project description was given on the command line, only ask for the remaining items.

Required questions:

1. Project description (free text, 2-3 sentences). What is it, where, what is it trying to achieve.
2. Counterfactual (free text). What happens if the project does NOT go ahead? This must be dynamic: what evolves over time without intervention (deterioration, demand growth, committed policies in the pipeline).
3. Sponsor (multiple choice, default = Government / municipality). Who is the named funder whose books we are tracking for cash flow? Options:
   • Government / municipality (default)
   • Private investor (equity or debt)
   • Blended (government + private + grants)
   • Philanthropic / grant-funded

The sponsor anchors the Cash flow column. An item is cash in when real money moves onto the sponsor's books, cash out when real money moves off, and non-cash when the social value has no money attached to the sponsor. Same item can be cash to a municipality and non-cash to a private investor, so the sponsor choice matters.

If --sponsor was passed on the command line, skip the sponsor question. Default is government.

Do NOT ask sector, scale, type, lens, materiality thresholds, or anything else. Detect them from the description.

If project description or counterfactual is missing or vague, ask once more for clarification, then proceed with best guess.

Step 2: Brainstorm internally (do NOT narrate to the user)

Silently walk through these lenses to surface candidates. Do not show the working. The output is the table, not the brainstorm.

1. Stakeholders: who is the direct beneficiary, who is indirectly affected (supply chain, neighbours, community, government, future generations, environment), who loses?
2. Causal chain (compressed ToC): inputs -> activities -> outputs -> outcomes -> impacts. Benefits sit mostly at outcomes/impacts. Costs sit mostly at inputs/activities.
3. Framework taxonomy: walk through every category for the chosen framework (see below). This catches benefits invisible through stakeholder mapping alone.
4. Sector trap check: for the detected sector, what is commonly missed and what is commonly double-counted?

For uk-gb, the categories are:

• Cash-releasing benefits (direct budget savings)
• Non-cash quantifiable (outputs delivered, harms avoided)
• Non-cash qualitative (quality, safety, satisfaction)
• Distributional (impacts on low-income, protected characteristics, regions)
• Wellbeing (WELLBY)
• Carbon and environmental (split into operational vs embodied)

For eu-brg, the categories are:

• Economic impacts (GDP, productivity, innovation, competitiveness)
• Business impacts including SMEs (compliance costs via SCM)
• Consumer impacts (prices, choice, safety, information)
• Social impacts (employment, equality, health, social inclusion)
• Environmental impacts (climate, biodiversity, resources)
• Fundamental rights and territorial impacts

For wb (World Bank), the categories are:

• Incremental project benefits (with-project minus without-project, consistent with the counterfactual)
• Direct economic benefits to intended beneficiaries (user time savings, yield uplift, avoided cost, improved health outcomes)
• Distributional incidence by income decile and poverty headcount impact
• Environmental externalities (local and global, with carbon at shadow price)
• Fiscal effects (changes to government revenue and spending, relevant to sustainability)
• Willingness-to-pay for non-marketed outputs
• Risk and sensitivity (since Bank guidance emphasises scenario testing over optimism bias uplift)

For adb (Asian Development Bank), the categories are:

• Economic benefits quantified against the without-project counterfactual using shadow prices for tradables and non-tradables
• Willingness-to-pay for incremental output, with consumer surplus where demand curves can be estimated
• Resource cost savings (avoided imports, avoided electricity generation, avoided user cost)
• Poverty impact, distributional analysis, and gender-disaggregated benefits where material
• Climate co-benefits and carbon priced at the ADB shadow carbon price
• Labour benefits valued at shadow wage rates (urban and rural skilled / unskilled)
• Sensitivity and switching values (ADB requires switching values on headline variables)

For au-vic (HVHR), the categories follow the Investment Logic Map and Benefit Management Plan structure:

• Strategic benefits (alignment with the ILM problem-benefit logic, government priorities)
• Service delivery benefits (improved access, quality, reliability for end users)
• Cost savings (cash-releasing or avoided cost across the asset life)
• Revenue generation (new or expanded revenue streams)
• Risk reduction (avoided losses, resilience, regulatory compliance, safety)
• Asset condition and lifecycle benefits (extended useful life, deferred renewal)
• Wider economic benefits (per ATAP M1 for transport; agglomeration, productivity, labour supply)
• Environmental benefits (carbon at the Australian shadow price, biodiversity, water)
• Distributional impacts (regional Victoria, equity groups, Aboriginal Victorians)
• Disbenefits (HVHR requires negative impacts to be captured explicitly alongside benefits)

Each HVHR benefit MUST have: a named owner, a measurable KPI, a baseline, a target, a measurement method, and a realisation timeframe. The longlist captures the KPI and measurement method in the quantification column. The owner, baseline, target, and timeframe are added downstream in the CBA or business case.

Target longlist size: 8-15 benefits and 5-10 costs. Do not pad. Do not produce 30 items.

Step 3: Apply filters before tabulating

Drop or downgrade items that violate any of these rules. If something is dropped, list it once in the "Excluded" section below the table with a one-line reason. Do not put excluded items in the main table.

Always exclude:

• Sunk costs. Resources already committed that cannot be recovered. Green Book 2022 §5.17.
• Transfers (in social CBA). Tax revenue on new earnings, council tax from new residents, welfare payments — these move money between parties without creating real resources. Note them as fiscal effects, not social benefits.

Always flag and downgrade (move to Excluded with reason):

• Construction employment when capital cost is already on the cost side. The labour is paid for inside the capex line. Only include if there is genuine local labour market slack and the user explicitly asks.
• Land value uplift when journey time savings (or any direct accessibility benefit) is already counted. Land values capitalise the same effect.
• Tax receipts on earnings when gross individual earnings are already on the benefits side.

Step 4: Build the two tables

Each table has seven columns. Use H/M/L for materiality based on expected share of total NPV (H = top 3-5 items / >20% each; M = 5-20%; L = <5%).

For the Cash flow column, tag each item from the sponsor's perspective (set in Step 1):

• Cash in : real money moves onto the sponsor's books. Examples: user fees, ticket sales, grant receipts, avoided opex the sponsor would otherwise pay, avoided capex the sponsor would otherwise fund, lease or rental income.
• Cash out : real money moves off the sponsor's books. Examples: construction capex, operating expenditure, irrigation water bills, debt interest, maintenance, contractor payments.
• Non-cash : social value with no money attached to the sponsor. Examples: heat deaths avoided, WELLBYs, biodiversity net gain, air quality improvements, carbon sequestration (unless the sponsor can actually sell credits).

Rules for tagging:

• Avoided municipal costs (e.g. avoided stormwater grey infrastructure) are Cash in when the sponsor is the municipality: the sponsor would otherwise have paid them.
• Avoided healthcare costs are Cash in when the sponsor is the healthcare system (NHS, SSN, Medicare) and Non-cash when the sponsor is a local municipality or a private investor.
• Carbon sequestration is Non-cash by default. Mark it Cash in only if the sponsor can actually monetise the carbon (registered offset credits in a functioning market).
• Property value uplift is Non-cash to a public sponsor (it accrues to private landowners), and already flagged as a likely double-count anyway.
• Construction capex and annual O&M are always Cash out.
• Embodied construction carbon is Non-cash (social cost, no money to anyone).
• Transfers go to Excluded (as today). They are neither cash flow nor social value.

If the sponsor is blended, tag the item from the perspective of whoever bears or receives the dominant share.

For the quantification method, write a short concrete approach: how to measure the item in physical units. Examples: "tCO2e sequestered per ha × ha planted × decay curve", "heat-related deaths avoided estimated from EuroHEAT exposure-response × heat days × population in catchment", "compliance hours per business × number of affected businesses × frequency".

For the monetisation method, write the route from physical units to money: a published unit value, an analytical approach, or "qualitative only - narrative treatment". Cite the specific source. Examples: "DESNZ shadow carbon price (Italy: EU ETS price as proxy)", "Italian VSL ~ EUR 1.6m per fatality avoided", "Standard Cost Model: hours × median wage × frequency".

If no method exists for an item, write "Qualitative only - narrative treatment" in the monetisation column. Do not leave blank.

Step 5: Write the output

Save longlist-[slug]-[YYYY-MM-DD].md with this exact structure. Nothing more, nothing less.

# Longlist: [Project Name]

**Framework**: [uk-gb | eu-brg | au-vic] · **Sponsor**: [government | private | blended | philanthropic] · **Date**: [YYYY-MM-DD]
**Project**: [1-2 sentence project description]
**Counterfactual**: [1-2 sentence dynamic baseline]

## Benefits

Table 1: Benefits longlist.

| # | Benefit | Description | Materiality | Cash flow | Quantification method | Monetisation method |
|---|---------|-------------|:-----------:|:---------:|----------------------|---------------------|
| 1 | [name] | [one sentence] | H | Cash in / Non-cash | [physical-unit method] | [unit value or approach with source] |
| 2 | ... | ... | M | ... | ... | ... |
| ... | | | | | | |

Source: Authors' analysis using [framework name].

## Costs

Table 2: Costs longlist.

| # | Cost | Description | Materiality | Cash flow | Quantification method | Monetisation method |
|---|------|-------------|:-----------:|:---------:|----------------------|---------------------|
| 1 | [name] | [one sentence] | H | Cash out / Non-cash | ... | ... |
| ... | | | | | | |

Source: Authors' analysis.

## Excluded

- **[Item name]**: [reason — sunk cost / double-counts row N / transfer / etc.]
- ... (omit this section entirely if no exclusions)

## Cash flow summary

| Side | Cash items (count) | Non-cash items (count) | Note |
|------|:------------------:|:----------------------:|------|
| Benefits | [n_cash_in] | [n_non_cash_benefits] | [one line, e.g. "Most benefits are non-cash social value; requires public or philanthropic funding"] |
| Costs | [n_cash_out] | [n_non_cash_costs] | [one line, e.g. "All costs are cash out from the sponsor"] |

## Next step

Hand this to a downstream CBA or business case workflow to monetise and compute both economic and financial NPV.

<!-- KEY NUMBERS
type: longlist
project: [name]
framework: [framework]
sponsor: [sponsor]
n_benefits: [count]
n_costs: [count]
n_h_benefits: [count]
n_h_costs: [count]
n_cash_in_benefits: [count]
n_non_cash_benefits: [count]
n_cash_out_costs: [count]
n_non_cash_costs: [count]
date: [YYYY-MM-DD]
-->

That is the entire output. No methodology section. No shortlist section. No detail tables. No JSON companion.

Sub-component selection (via --section): if the user wants only part of the output, emit only those parts. In all modes include the header block.

• full (default): header + both tables + Excluded + Cash flow summary + next step
• benefits: header + benefits table only
• costs: header + costs table only
• summary: header + cash flow summary only
• benefits,costs: both tables without summary / excluded / next step

Always include the KEY NUMBERS comment at the bottom.

Format-specific output structure (only produce formats explicitly requested; see dispatcher below):

• Markdown (.md): longlist-[slug]-[date].md with the structure shown above.
• Excel (.xlsx): invoke the xlsx skill. Two sheets: Benefits and Costs, seven columns each. Conditional formatting on the materiality column (green H, amber M, grey L) and on the Cash flow column (green "Cash in", red "Cash out", grey "Non-cash"). Save as longlist-[slug]-[date].xlsx.
• Word (.docx): invoke the docx skill. One document: header block, benefits table, costs table, excluded list, cash flow summary. Save as longlist-[slug]-[date].docx.
• PowerPoint (.pptx): invoke the pptx skill. Four slides: title / counterfactual, benefits table, costs table, cash flow summary. Action titles. Save as longlist-[slug]-[date].pptx.
• PDF: render markdown through the econstack Quarto template. Save as longlist-[slug]-[date].pdf.

Output formats

The user requests format(s) via --format. Default: md. Comma-separated lists are allowed (e.g. --format md,pdf); all expands to every supported format.

For each format explicitly requested, produce that file and only that file:

• md: write the markdown inline (only when md is in the requested set).
• docx: invoke the docx skill with the rendered content.
• pdf: render via the econstack Quarto template (or invoke the pdf skill if no template exists for this skill).
• xlsx: invoke the xlsx skill with the structured tables.
• pptx: invoke the pptx skill with the briefing as a deck.

Do NOT produce formats that were not requested. This is the v0.4 fix for the multi-format leak that previously caused --format pdf to also write .md and .docx files alongside the PDF. Any intermediate files needed during rendering must go to a temp directory and be cleaned up before the skill returns.

When you finish, the file listing in your "Saved:" message must contain exactly the files the user asked for, no extras.

Tell the user:

Longlist complete. [N] benefits, [M] costs.

Saved: longlist-[slug]-[date].md
[Other formats listed only if generated]

Citation discipline

Every numerical claim in the output must be followed by an inline citation in the form [SOURCE_CODE, vintage]. SOURCE_CODE is a short tag (e.g. ONS_PSF, OBR_EFO, BoE_MPR, Fed_FOMC, ECB_EB, RBA_SoMP, IMF_WEO, OECD_EO, Eurostat, BLS, BEA, FRED, ABS, Comtrade) matching an entry in the References footer. vintage is the publication date of the source data (e.g. Mar 2026, Q4 2025, Jan 2026).

Examples:

CPI was 3.4% YoY in March 2026 [ONS_CPI, Mar 2026].

The OBR forecasts borrowing falling to 1.6% of GDP by 2028-29 [OBR_EFO, Mar 2026].

Industry concentration is moderate: HHI is 1,820 across the top 8 firms [Companies_House, Q4 2025].

Numbers that cannot be sourced to a primary publication must NOT appear in the output. No exceptions: do not estimate, infer from training data, interpolate, or recall from memory. If a needed number isn't in fetched data, state it explicitly:

[Source] has not yet published this measure for [period].