managing-management-commentary
Structures MD&A-style management commentary with narrative quality and metric alignment. Use when writing management commentary, preparing earnings narratives, or documenting financial performance.
Best use case
managing-management-commentary is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures MD&A-style management commentary with narrative quality and metric alignment. Use when writing management commentary, preparing earnings narratives, or documenting financial performance.
Teams using managing-management-commentary should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/managing-management-commentary/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-management-commentary Compares
| Feature / Agent | managing-management-commentary | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structures MD&A-style management commentary with narrative quality and metric alignment. Use when writing management commentary, preparing earnings narratives, or documenting financial performance.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Managing Management Commentary ## When To Use - Drafting MD&A (Management's Discussion and Analysis) sections for periodic filings or internal board packages - Writing earnings release narratives that connect financial results to strategic drivers - Preparing management commentary for quarterly or annual reports (IFRS Practice Statement 1 or SEC MD&A requirements) - Summarizing financial performance for investor presentations, lender updates, or board decks - Translating raw financial data into executive-level narrative with consistent metric alignment ## Inputs To Gather - **Financial statements**: Income statement, balance sheet, and cash flow statement for current and prior comparative periods - **KPI dashboards**: Revenue by segment/geography, gross margin, EBITDA, free cash flow, backlog, bookings, churn, or other business-specific metrics - **Budget/forecast data**: Plan vs. actual variances with materiality thresholds defined by the reporting team - **Prior-period commentary**: Last quarter/year MD&A draft to maintain narrative continuity and track previously disclosed trends - **Strategic context**: Management priorities, capital allocation decisions, known headwinds/tailwinds, one-time items, and non-GAAP adjustments with reconciliations - **Audience and format**: Identify whether output targets SEC filing, board memo, investor letter, or internal management report — tone and disclosure depth differ significantly ## Workflow 1. **Anchor on the numbers** — Build a variance table (period-over-period and plan-vs-actual) for each key line item. Flag any variance exceeding the materiality threshold for narrative explanation. Confirm figures tie to the general ledger or controller-approved trial balance. 2. **Identify the storyline** — Determine the 3–5 dominant themes driving performance (e.g., volume growth, price/mix shift, cost inflation, FX impact, M&A contribution, one-time charges). Rank by magnitude of P&L or cash flow impact. 3. **Draft the narrative structure**: - **Overview paragraph**: Headline results, strategic framing, and forward-looking tone - **Revenue discussion**: Segment/geography breakdowns, organic vs. inorganic growth, pricing actions, customer metrics - **Profitability discussion**: Gross margin bridge, SG&A leverage, R&D investment rationale, EBITDA walk - **Cash flow and liquidity**: Operating cash conversion, capex, debt service, share repurchases, dividend policy - **Outlook and risks**: Updated guidance (if applicable), known uncertainties, sensitivity factors 4. **Align metrics to narrative** — Every quantitative claim must trace to a source figure. Use a consistent format: state the metric, give the value, explain the driver. Example: "Revenue increased 12% to $480M, driven primarily by volume growth in the North American commercial segment (+$38M) and pricing actions (+$14M), partially offset by unfavorable FX translation (–$8M)." 5. **Calibrate tone and disclosure** — Match language precision to the audience: - **SEC/regulatory filings**: Neutral, balanced, forward-looking statement safe harbors, risk factor cross-references [VERIFY: confirm safe harbor language meets current SEC guidance] - **Board memos**: More candid on risks, include management actions and contingency plans - **Investor letters**: Emphasize strategic progress and competitive positioning; avoid over-committing on forward numbers - **Internal reports**: Include granular operational detail and accountability assignments 6. **Review non-GAAP measures** — If using adjusted EBITDA, adjusted EPS, or other non-GAAP metrics, ensure each has a clear reconciliation to the nearest GAAP measure. [VERIFY: SEC Regulation G and Item 10(e) compliance for public filers; IFRS Practice Statement guidance for non-GAAP in management commentary] 7. **Stress-test the draft** — Read the narrative without the tables. Does the story hold together? Would a board member or analyst understand what happened and why? Flag any unsupported assertion or orphaned metric. ## Output - **Management commentary document** organized with: - Executive summary (1 paragraph, headline metrics) - Detailed discussion sections (revenue, profitability, cash flow, outlook) - Variance bridges or waterfall annotations embedded in or referenced alongside narrative - Forward-looking statements clearly marked with appropriate caveats - **Metric alignment table** mapping each narrative claim to its source figure, period, and variance explanation - All currency values, percentages, and period references consistently formatted - Unresolved items flagged with [VERIFY] for controller or legal review ## Quality Checks - Every percentage and dollar figure in the narrative ties back to the approved financial data — no orphaned or rounded-without-source numbers - Period-over-period comparisons use consistent bases (e.g., constant currency vs. reported, same-store vs. total) - Non-GAAP metrics include reconciliations and are not given greater prominence than GAAP equivalents [VERIFY: jurisdiction-specific non-GAAP presentation rules] - Forward-looking statements are accompanied by cautionary language identifying key assumptions and risks - Narrative avoids burying material adverse trends — balanced presentation of both favorable and unfavorable developments - Terminology is consistent throughout (e.g., do not switch between "operating income" and "operating profit" without reason) - Draft has been checked for internal contradiction (e.g., claiming margin expansion while the bridge shows margin compression)
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