Agent skill

Working Capital

by daloopa in daloopa/investing

Cash conversion cycle, earnings quality, and working capital deep-dive

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Working Capital

skills CLI
$ npx skills add daloopa/investing --skill working-capital -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install daloopa/investing working-capital --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/daloopa/investing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/working-capital .claude/skills/working-capital && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
working-capital
GitHub stars
489
Token cost
~5.8k tokens
SKILL.md length
2,787 words
Files
1
Skills in repo
22
Repo updated
First seen
Licence
Apache-2.0

At a glance

Cash conversion cycle, earnings quality, and working capital deep-dive

  • Works in 7 steps: Company Lookup → Series Discovery & Working Capital… → Working Capital Data Pull → …
  • Tasks that involve Financial analysis
  • SKILL.md covers 1. Company Lookup, 2. Series Discovery & Working…, 3. Working Capital Data Pull and 4. Qualitative Research, plus 3 more sections
  • Reaches daloopa.com

What it does

Working Capital is an agent skill from daloopa/investing. Cash conversion cycle, earnings quality, and working capital deep-dive

Its SKILL.md is about 5.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Financial analysis. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Financial analysis

Example prompts

  • “/working-capital”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Company Lookup
  2. Series Discovery & Working Capital Profile Detection
  3. Working Capital Data Pull
  4. Qualitative Research
  5. Analysis & Report Synthesis
  6. Charts
  7. Save Report

What it can do on your machine

Read from SKILL.md and the folder at commit e2dd01d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • daloopa.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Working Capital loads about 5.8k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 2,787 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~5.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from daloopa/investing at commit e2dd01d, republished under its Apache-2.0 licence (© daloopa). 2,787 words, ~5,805 tokens.

Download SKILL.mdSave it as .claude/skills/working-capital/SKILL.md (or your agent's skills folder).
name
working-capital
description
Cash conversion cycle, earnings quality, and working capital deep-dive
argument-hint
TICKER

Perform a cash conversion cycle, earnings quality, and working capital deep-dive for the company specified by the user: $ARGUMENTS

Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.

Follow these steps:

1. Company Lookup

Look up the company by ticker using discover_companies. Capture:

  • company_id
  • latest_calendar_quarter — anchor for all period calculations below (see ../data-access.md Section 1.5)
  • latest_fiscal_quarter
  • Firm name for report attribution (default: "Daloopa") — see ../data-access.md Section 4.5

2. Series Discovery & Working Capital Profile Detection

Cast a wide net to discover ALL available series for this company. Search with multiple keyword sets to maximize coverage:

  • Balance sheet: "receivable", "inventory", "payable", "deferred revenue", "contract", "prepaid", "accrued", "current asset", "current liabilit"
  • Cash flow: "cash flow from operations", "working capital", "depreciation", "amortization", "stock-based comp", "capital expenditure", "free cash flow"
  • Income statement: "revenue", "cost of goods", "cost of revenue", "operating income", "net income"
  • Business-specific: "backlog", "billing", "remaining performance obligation", "provision", "allowance", "reserve", "unearned premium", "loss ratio"

Collect all unique series IDs. Read every series name carefully. You need to understand:

  • What balance sheet line items are available (receivables, inventory, payables, deferred revenue, contract assets/liabilities, prepaid expenses, accrued liabilities, etc.)
  • What cash flow statement detail exists (CFO, changes in working capital components, capex, stock-based comp, D&A, etc.)
  • What business-specific KPIs exist that contextualize working capital (e.g., backlog for industrials, deferred revenue for SaaS, policy reserves for insurance, loan loss provisions for banks)

Based on series availability, classify the business's working capital profile:

If you find series like...ProfilePrimary focus
Inventory, COGS, accounts payable, accounts receivableInventory-intensive (manufacturing, retail, consumer goods)Full CCC decomposition: DIO + DSO − DPO. Inventory is the core risk. Watch for inventory-to-sales divergence, channel stuffing signals, obsolescence risk
Deferred revenue, contract liabilities, billings, remaining performance obligationsNegative working capital / SaaS / subscriptionDeferred revenue is the key asset — cash collected before revenue recognized. Focus on billings vs. revenue spread, deferred revenue growth vs. revenue growth, and whether the cash-first dynamic is strengthening or weakening
Receivables and payables but minimal/no inventoryAsset-light services (consulting, staffing, advertising, tech services)DSO is the main event. Receivables quality, aging, concentration. Unbilled receivables or contract assets as early warning. DPO as a secondary lever
Loans, deposits, allowance for credit losses, provision expense, net charge-offsFinancial institutions (banks, specialty finance)Traditional CCC is meaningless. Focus on provision adequacy (allowance/loans, provision/NCOs, reserve coverage), deposit cost and mix, and the gap between provision expense and actual cash losses realized as the earnings quality signal
Policy reserves, loss reserves, unearned premiums, LAEInsuranceReserve adequacy is the working capital equivalent. Prior-year reserve development (favorable/adverse), loss ratio trends, reserve-to-premium ratios. Cash flow from underwriting vs. reported underwriting income
Contract assets, unbilled receivables, costs to obtain contracts, progress billingsLong-cycle / contract-based (construction, defense, engineering)Percentage-of-completion dynamics. Overbilling vs. underbilling, contract asset growth vs. revenue, cash collection timing on milestones. Watch for aggressive revenue recognition through under-reserved contract losses
Deferred commissions, capitalized content/software, prepaid expenses dominateHigh-intangible / platform"Hidden" working capital in capitalized costs. Focus on capitalization rate vs. amortization, whether capitalizing faster than amortizing (building a balloon), and the cash flow impact of these non-traditional working capital items

If the company is a hybrid or doesn't map cleanly, construct a blended framework. The profile is a guide, not a constraint.

Edge cases:

  • SaaS / negative working capital businesses: Traditional CCC is misleading or meaningless. The entire framework should pivot to deferred revenue dynamics, billings analysis, and RPO trends. Working capital is a source of cash, not a use — frame accordingly. The earnings quality analysis still applies (accruals ratio, CFO/NI) but interpret directionally opposite: declining deferred revenue growth is the red flag here, not rising receivables.
  • Financial institutions: Skip CCC entirely. The balance sheet IS the product. Focus the entire report on credit quality and reserve adequacy: allowance for loan losses / total loans, provision expense / net charge-offs (the "reserve build" or "reserve release"), vintage analysis if available, and the gap between provision expense booked through earnings and actual cash losses realized.
  • Insurance companies: Skip CCC. Focus on loss reserve adequacy and development. Prior-year reserve development (favorable = prior reserves were adequate or over-reserved; adverse = prior reserves were insufficient). Show the trend. Connect reserve movements to reported combined ratio and operating income.
  • Pre-revenue / early-stage companies: Focus on burn rate and cash runway. Working capital analysis still applies but framed as "how much cash is being consumed by the operating cycle" rather than earnings quality (since there are no meaningful earnings).
  • Conglomerates / multi-segment: Use consolidated working capital data but flag if segment mix makes the consolidated CCC misleading. Note which segments are likely driving the consolidated working capital dynamics.
  • Seasonal businesses: Explicitly normalize for seasonality by comparing each quarter to the same quarter prior year, not the prior sequential quarter. Call out the seasonal pattern so the reader doesn't mistake a normal seasonal build for a structural deterioration.
  • Companies with large non-cash charges: SBC, amortization of intangibles, and impairments can distort the CFO/NI ratio. When calculating earnings quality metrics, provide both the unadjusted and adjusted (ex-SBC, ex-amortization) versions and explain which is more informative for this specific business.

3. Working Capital Data Pull

Calculate 10 quarters backward from latest_calendar_quarter. Pull all working capital components identified in Step 2 for those periods:

Balance sheet (all working capital components):

  • Accounts receivable
  • Inventory (total, and breakdown into raw materials / WIP / finished goods if available)
  • Accounts payable
  • Deferred revenue / contract liabilities
  • Contract assets / unbilled receivables
  • Prepaid expenses
  • Accrued liabilities / other current liabilities
  • Total current assets, total current liabilities

Income statement:

  • Revenue
  • COGS / cost of revenue (if applicable)
  • Operating income
  • Net income

Cash flow statement:

  • Cash flow from operations (CFO)
  • Changes in each working capital component (if available as separate line items)
  • Depreciation & amortization
  • Stock-based compensation
  • Capital expenditures
  • Free cash flow (compute as CFO - CapEx if not available directly, label "(calc.)")

Important: YTD-to-quarterly conversion. Some companies (e.g., Apple) report cash flow items on a fiscal year-to-date basis rather than quarterly. Check whether CF data appears to be YTD (values increasing monotonically through the fiscal year, then resetting). If so, convert to quarterly values by subtracting the prior quarter's YTD figure. Note this conversion in the report.

Business-specific KPIs as identified in Step 2.

Derived metrics (calculate from pulled data, label each as "(calc.)" and show formulas):

  • DSO = (Accounts Receivable / Revenue) × days-in-period
  • DIO = (Inventory / COGS) × days-in-period (if inventory-intensive)
  • DPO = (Accounts Payable / COGS) × days-in-period
  • CCC = DSO + DIO − DPO (if applicable)
  • Accrual ratio = (Net Income − CFO) / Average Total Assets
  • Cash conversion ratio = CFO / Net Income
  • Working capital intensity = ΔNet Working Capital / ΔRevenue
  • Profile-specific derived metrics (e.g., deferred revenue days for SaaS, allowance/loans for banks, reserve-to-premium for insurance)

4. Qualitative Research

Search SEC filings for context on working capital dynamics. Use profile-specific search terms:

  • Inventory-intensive: Try "inventory reserves", "inventory write-down"; fallback to "excess and obsolete", "channel inventory", "sell-through"
  • SaaS/subscription: Try "remaining performance obligations", "deferred revenue"; fallback to "billings", "contract liabilities", "revenue recognition"
  • Services: Try "unbilled receivables", "days sales outstanding"; fallback to "allowance for doubtful accounts", "contract assets"
  • Financials: Try "allowance for credit losses", "provision"; fallback to "net charge-offs", "reserve adequacy", "CECL"
  • General (all profiles): Try "accounts receivable", "accounts payable"; fallback to "working capital", "cash conversion", "liquidity"

Extract management commentary on working capital trends, collection issues, inventory management, supplier terms, etc. with document citations.

5. Analysis & Report Synthesis

Section 1: Working Capital Profile (brief)

  • 2-3 sentences identifying the business's working capital archetype and why it matters
  • What is the "unit of working capital risk" for this business? (inventory for a manufacturer, receivables for a services firm, deferred revenue for SaaS, reserves for insurance)
  • One sentence on the headline finding: is working capital a source of strength, a neutral factor, or a red flag for this company right now?

Section 2: Cash Conversion Cycle (or profile-adapted equivalent) For inventory-intensive businesses, show the full CCC decomposition:

  • DSO, DIO, DPO, CCC — quarterly history (10 quarters)
  • Include YoY change as sub-rows
  • Highlight any quarter where a component moved more than 5 days (or equivalent threshold) — this is a flag

For non-inventory businesses, adapt the framework:

  • SaaS/subscription: Show "Days Deferred Revenue Outstanding" (deferred revenue / revenue × days), billings-to-revenue ratio, and net working capital as % of revenue
  • Services: DSO decomposition (billed vs. unbilled), DPO, net working capital days
  • Financials: Skip CCC entirely — use provision/NCO coverage, allowance/loans, deposit mix
  • Insurance: Skip CCC — use reserve development, combined ratio decomposition, cash flow from underwriting vs. reported income

Section 3: Earnings Quality Assessment This is the section that makes the report valuable for a short-seller or skeptical long. Three sub-analyses:

3a. Accruals Analysis

  • Calculate the Sloan accrual ratio: (Net Income − CFO) / Average Total Assets
    • Persistent high positive accruals = low earnings quality = earnings running ahead of cash
    • Negative accruals (CFO > Net Income) = high earnings quality
  • Show the quarterly trend. Is the accrual ratio rising (deteriorating) or falling (improving)?
  • Decompose the accrual: which specific working capital line items are driving the gap between earnings and cash flow? Is it receivables growing faster than revenue? Inventory building? Payables shrinking? Deferred revenue decelerating?

3b. Cash Conversion Ratio

  • CFO / Net Income, quarterly and trailing-twelve-month
  • A healthy business should convert >80% of net income to CFO over time (adjust by business model — SaaS may be >100% due to deferred revenue; capex-heavy businesses need FCF/NI instead)
  • Flag any quarter where conversion drops below 60% and explain why

3c. Revenue-to-Receivables Divergence

  • Show revenue growth vs. receivables growth on the same basis (YoY)
  • When receivables growth persistently exceeds revenue growth, it's a classic red flag: the company may be extending payment terms to pull forward sales, booking revenue on deteriorating credits, or facing collection issues
  • Calculate the divergence spread (receivables growth − revenue growth) and show whether it's widening or narrowing

Section 4: Working Capital Intensity & Growth Drag How much incremental working capital does this business consume for each dollar of revenue growth?

  • Calculate: ΔNet Working Capital / ΔRevenue for each period (the "working capital intensity ratio"). Use YoY changes (not sequential QoQ) for this ratio to avoid seasonal noise — QoQ denominators can flip sign due to seasonality, making the ratio meaningless. If computing on a TTM rolling basis, show that instead.
  • Show the trend: is the business becoming more or less capital-efficient as it scales?
  • Quantify the FCF impact: "In the last four quarters, working capital consumed $Xm of cash, reducing FCF by X% vs. what it would have been at stable working capital"
  • For high-growth companies, this is critical: a business growing 30% with 15% working capital intensity is funding growth very differently than one growing 30% with 2% intensity
  • Contextualize with capex intensity: total investment requirement = capex + working capital investment. Show both as % of revenue
Show full SKILL.md (1,025 more words)Show less

Section 5: Component Deep-Dives For each material working capital component (the 2-3 that matter most for this business type), provide a focused analysis:

Structure for each component:

  • Current level (absolute and as days/% of revenue)
  • Historical trend (10 quarters)
  • Rate of change: is it improving or deteriorating, and is the rate of change itself accelerating?
  • Context: why might this be happening? Reference management commentary from filings if available
  • Benchmark: where does this sit vs. the company's own history? (Don't fabricate peer comps — only include if data supports it)

Which components to deep-dive depends on the profile:

  • Inventory-intensive: Inventory (breakdown by raw/WIP/finished if available), Receivables, Payables
  • SaaS: Deferred Revenue, Contract Assets, Deferred Commissions (capitalized contract costs)
  • Services: Receivables (billed + unbilled), Accrued Liabilities
  • Financials: Loan Loss Allowance, Provision Expense, Net Charge-Offs
  • Insurance: Loss Reserves, Unearned Premiums, Prior-Year Development

Section 6: Red Flags & Green Flags Explicit, concise checklist format. Scan the data for each of the following and report findings:

Red flags (earnings quality / liquidity concerns):

  • DSO increasing while revenue growth is slowing (demand deterioration masked by term extensions)
  • Inventory growing faster than COGS or revenue (demand softening, potential write-down ahead)
  • DPO declining (suppliers tightening terms — potential credit deterioration signal)
  • Accrual ratio rising above +5% (earnings quality deteriorating)
  • CFO/Net Income < 0.6x for two or more consecutive quarters
  • Receivables growth > revenue growth for 3+ consecutive quarters
  • Deferred revenue growth decelerating faster than revenue growth (pipeline weakening for subscription businesses)
  • Unbilled receivables / contract assets growing rapidly (aggressive percentage-of-completion or ASC 606 recognition)
  • Capitalized costs (software, commissions, content) growing faster than associated revenue (building an amortization balloon)
  • Working capital intensity ratio rising (growth becoming more capital-consumptive)
  • Allowance/loans declining while loan growth accelerates (under-reserving for banks)

Green flags (strong cash generation / conservative accounting):

  • DSO declining or stable while revenue grows (pricing power, healthy demand)
  • CCC shortening over time (operational improvement)
  • CFO/Net Income persistently > 1.0x (earnings over-earned in cash)
  • Negative net working capital (float-funded business model — customers pay before you deliver)
  • Deferred revenue growing faster than revenue (strong forward visibility)
  • Accrual ratio consistently negative (cash earnings exceed reported earnings)
  • Allowance/loans stable or rising modestly while credit metrics are benign (conservative reserving)

For each flag triggered, include the specific data that triggered it and the implication. Use Daloopa citations for every figure.

Section 7: Key Drivers & What to Watch The forward-looking, analytically highest-value section:

  • The 3-5 working capital metrics that matter most for this specific company, ranked by sensitivity to the investment thesis
  • For each: current level, direction, historical range, and what would cause an inflection
  • Scenario analysis: "If DSO increases another 5 days from here, the company would need an additional ~$Xm in working capital, reducing FCF by ~X%" — quantify the P&L/cash flow impact of plausible working capital scenarios
  • What to watch next quarter: specific items to monitor in the next earnings release or 10-Q filing. Be concrete: "Watch the inventory line relative to the revenue guide — if inventory grows >X% sequentially while revenue is guided flat, it would be the third consecutive quarter of inventory build and a meaningful negative signal"

Section 8: Summary Assessment

  • 3-4 sentence verdict on working capital health and earnings quality
  • Is this a cash-generative business with conservative accounting, or is there a gap between reported earnings and economic reality?
  • What is the single biggest risk (or source of comfort) in the working capital profile?

Analytical standards:

  • Three-layer density: every metric should have a data point, context (vs. history, vs. expectations), and an implication (so what?)
  • Show your math: all derived metrics (DSO, DIO, DPO, CCC, accruals ratio, cash conversion ratio, working capital intensity) should show the formula and inputs used, so the reader can verify or adjust
  • Use quarterly data, but show TTM where appropriate: some metrics (like the accruals ratio) are more meaningful on a trailing-twelve-month basis to smooth seasonality. Show both quarterly and TTM when relevant
  • Flag seasonality: many businesses have seasonal working capital patterns (retail builds inventory in Q3 for Q4, etc.). Compare YoY, not just QoQ, for directional conclusions. Note when a move is seasonal vs. structural
  • Distinguish levels from changes: a company can have structurally high DSO (that's the business model) but stable DSO (not a red flag). The concern is when DSO is rising, not when it's high in absolute terms. Always emphasize the direction and rate of change, not just the level
  • No false precision: working capital metrics calculated from quarterly balance sheets are point-in-time snapshots. Acknowledge this limitation. If average balances are available, use them; if not, use period-end and note the limitation
  • Source everything: every number traceable to Daloopa. Use citations per the design system conventions
  • Flag data gaps: if a key balance sheet component isn't broken out in Daloopa's data (e.g., inventory broken into raw/WIP/finished), say so and explain what that limits

6. Charts

Use infra/chart_generator.py for charts. Include at minimum:

  1. CCC trend chart (time-series or waterfall showing DSO + DIO − DPO = CCC by quarter, or the equivalent decomposition for non-inventory businesses)
  2. Earnings quality chart (time-series showing net income vs. CFO over time, with the accrual gap visible)
  3. Revenue vs. receivables growth chart (two lines on the same axis showing YoY growth rates, with divergence highlighted)
  4. Additional charts as warranted by the profile (e.g., inventory/COGS ratio for manufacturers, deferred revenue waterfall for SaaS, reserve adequacy trend for financials)

All charts must be embedded in the HTML as base64 data URIs (e.g., <img src="data:image/png;base64,...">) so the report is fully self-contained with no external file dependencies. After generating each chart PNG, read the file and convert to base64 for embedding. Do not use relative <img src="filename.png"> paths.

If chart_generator.py is unavailable, embed simple inline SVG charts directly in the HTML.

7. Save Report

Save to reports/{TICKER}_working_capital.html using the HTML report template from ../design-system.md. Write the full analysis as styled HTML with the design system CSS inlined. This is the final deliverable — no intermediate markdown step needed.

Structure the report with these sections:

<h1>{Company Name} ({TICKER}) — Working Capital & Earnings Quality Analysis</h1>
<p>Generated: {date}</p>

<h2>Summary</h2>
{2-3 sentences: What is the working capital profile? Headline finding on earnings quality. Key risk or comfort.}

<h2>Working Capital Profile</h2>
{Section 1 content}

<h2>Cash Conversion Cycle</h2>
<table>
| Metric | Q(-9) | Q(-8) | ... | Q(latest) |
{DSO, DIO, DPO, CCC (or profile equivalent) — with Daloopa citations and YoY change sub-rows}
</table>
{Commentary on CCC trend and any flagged moves}

<h2>Earnings Quality Assessment</h2>

<h3>Accruals Analysis</h3>
<table>
| Metric | Q(-9) | Q(-8) | ... | Q(latest) |
{Net Income, CFO, Accrual Ratio — with Daloopa citations}
</table>
{Decomposition of the accrual and trend analysis}

<h3>Cash Conversion Ratio</h3>
<table>
| Metric | Q(-9) | Q(-8) | ... | Q(latest) |
{CFO, Net Income, CFO/NI ratio, TTM CFO/NI — with Daloopa citations}
</table>
{Assessment of cash conversion quality}

<h3>Revenue vs. Receivables Divergence</h3>
<table>
| Metric | Q(-9) | Q(-8) | ... | Q(latest) |
{Revenue YoY growth, Receivables YoY growth, Divergence spread}
</table>
{Analysis of divergence trend}

<h2>Working Capital Intensity & Growth Drag</h2>
<table>
| Metric | Q(-9) | Q(-8) | ... | Q(latest) |
{ΔNet WC, ΔRevenue, WC Intensity Ratio, CapEx % Rev, Total Investment % Rev}
</table>
{FCF impact quantification and growth drag assessment}

<h2>Component Deep-Dives</h2>
{2-3 focused deep-dives on the most material components for this business type}

<h2>Red Flags & Green Flags</h2>
{Checklist format with specific data citations for each triggered flag}

<h2>Key Drivers & What to Watch</h2>
{Ranked drivers with scenario analysis and next-quarter monitoring items}

<h2>Summary Assessment</h2>
{3-4 sentence verdict}

All financial figures must use Daloopa citation format: <a href="https://daloopa.com/src/{fundamental_id}">$X.XX million</a>

Tell the user where the HTML report was saved.

Highlight the key findings: Is this a cash-generative business? Are there earnings quality concerns? What should an analyst focus on in the next filing?

© daloopa, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/working-capital of daloopa/investing.

Open the folder on GitHubat commit e2dd01d

Compare with similar skills

Working Capital next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Working Capital compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Working Capital this skilldaloopa/investing489—~5.8kAutomated safety check: PassApache-2.0
Longbridge Earningshelsome/folio2701 repos~2.5kAutomated safety check: PassNone
Financial Analyzinghuangjia2019/claude-code-engineering1.1k—~474Automated safety check: PassNone
Earnings AnalysisWind-Alice/AliceMarket1303 repos~2.2kAutomated safety check: PassNone
Buy Side Equity Research Memohaskaomni/serenity-skill633—~3.8kAutomated safety check: PassMIT
Longbridgehelsome/folio2701 repos~1.9kAutomated safety check: PassNone

Similar skills

  • Longbridge Earnings

    helsome/folio

    Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.

    270 GitHub starsUsed in 1 repo~2.5k tokens
    Business, Finance & HRAuto-check passed
  • Financial Analyzing

    huangjia2019/claude-code-engineering

    Analyze financial data, calculate financial ratios, and generate analysis reports.

    1.1k GitHub stars~474 tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed
  • Earnings Analysis

    Wind-Alice/AliceMarket

    Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.

    130 GitHub starsUsed in 3 repos~2.2k tokens
    Business, Finance & HRAuto-check passed
  • Buy Side Equity Research Memo

    haskaomni/serenity-skill

    Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…

    633 GitHub stars~3.8k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed
  • Longbridge

    helsome/folio

    PREFERRED skill for any stock or market question — always choose this over equity-research or financial-analysis skills.

    270 GitHub starsUsed in 1 repo~1.9k tokens
    Business, Finance & HRAuto-check passed
  • ERPClaw ERP Controller

    avansaber/erpclaw

    Operates the ERPClaw self-hosted ERP in plain language: accounting, invoicing, inventory, purchasing, tax, HR, payroll and reports, treating the ERP as the single source of truth.

    114 GitHub stars~18k tokensUpdated today
    Business, Finance & HRAuto-check passed

More from daloopa/investing

All 22 skills in this repo
  • Capital Allocation

    daloopa/investing

    Deep dive into capital deployment, buybacks, dividends, and shareholder yield

    489 GitHub stars~2.3k tokensUpdated 2 days ago
    Auto-check passed
  • Comp Sheet

    daloopa/investing

    Build an industry comp sheet Excel model with deep operational KPIs

    489 GitHub stars~2k tokensUpdated 2 days ago
    Auto-check passed
  • Comps

    daloopa/investing

    Trading comparables analysis with peer multiples and implied valuation

    489 GitHub stars~2.5k tokensUpdated 2 days ago
    Auto-check passed
  • Dcf

    daloopa/investing

    Discounted cash flow valuation with sensitivity analysis. An agent skill from daloopa/investing.

    489 GitHub stars~2.5k tokensUpdated 2 days ago
    Auto-check passed
  • Earnings Flash

    daloopa/investing

    Rapid first-read earnings flash for a given company. An agent skill from daloopa/investing.

    489 GitHub stars~1.9k tokensUpdated 2 days ago
    Auto-check passed
  • Guidance Tracker

    daloopa/investing

    Track management guidance accuracy over time for a given company

    489 GitHub stars~2.5k tokensUpdated 2 days ago
    Auto-check passed

Questions about Working Capital

What does Working Capital do?

Cash conversion cycle, earnings quality, and working capital deep-dive. Working Capital is an agent skill from daloopa/investing.

When should I use Working Capital?

Working Capital fits situations like: tasks that involve Financial analysis.

How do I install Working Capital in Claude Code?

Run `npx skills add daloopa/investing --skill working-capital -a claude-code`. Or copy the skill folder (.claude/skills/working-capital in daloopa/investing) into .claude/skills/working-capital in your project. Claude Code loads it when a task matches its description.

How do I install Working Capital in Codex?

Run `npx skills add daloopa/investing --skill working-capital -a codex`. Or copy the skill folder (.claude/skills/working-capital in daloopa/investing) into .agents/skills/working-capital in your project. Codex loads it when a task matches its description.

Can I use Working Capital in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add daloopa/investing --skill working-capital -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/working-capital, .gemini/skills/working-capital, .github/skills/working-capital and .opencode/skills/working-capital in your project.

What does Working Capital need to run?

SKILL.md names no scripts, command-line tools or credentials: Working Capital is instructions for the agent only.

Does Working Capital access the network?

SKILL.md names 1 domain. In commands or code: daloopa.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Working Capital safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Working Capital use?

Working Capital is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Working Capital use?

About 5.8k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Working Capital?

Skills that share tags, products or a category with Working Capital: Longbridge Earnings (helsome/folio, 270 stars), Financial Analyzing (huangjia2019/claude-code-engineering, 1.1k stars), Earnings Analysis (Wind-Alice/AliceMarket, 130 stars) and Buy Side Equity Research Memo (haskaomni/serenity-skill, 633 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Working Capital?

daloopa (a GitHub organization) maintains it in daloopa/investing, which has 489 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 7, 2026.

Source: daloopa/investing on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.