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SKILL verified MIT Self-run

Understand And Extend An Inherited Spreadsheet

skill-iankiku-agent-skill-factory-understand-and-extend-an-inherited-spreadsheet · by iankiku

Understand existing formulas and structure then add new data while preserving the original logic. Use for tasks like “Understand and extend an inherited spreadsheet” and close variants. TEMPLATE — customize before installing.

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Install

$ agentstack add skill-iankiku-agent-skill-factory-understand-and-extend-an-inherited-spreadsheet

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Understand and extend an inherited spreadsheet — skill template

Turn this template into a working skill by resolving every TODO. The seed prompt below is the published Anthropic example this template was derived from; your skill should generalize it for repeated, hands-off use.

Outcome

Understand existing formulas and structure then add new data while preserving the original logic.

TODO: Restate the outcome for YOUR context in one sentence: who runs this, on what input, producing what artifact, how often.

Seed prompt (verbatim from source, © Anthropic PBC)

I inherited this SaaS revenue model when Marcus left. Finance needs Q1-Q3 2026 projections by Thursday. There's a Legend tab with some basics, and a few cell comments on formulas. Can you read through those, then help me understand the rest? Specifically:

- How the four tabs connect to each other
- What the seasonality adjustment and CAC Payback formulas are actually doing
- Anything important that isn't documented

Add some visual elements so I can see the trends at a glance—data bars on the margins, or a column showing growth from baseline. And add comments explaining any complex formulas. Then extend the model through Q3 2026, following Marcus's patterns.

Required context and inputs

  • File creation must be enabled in settings
  • Extended Thinking (recommended)
  • Spreadsheet file upload required
  • TODO: exact file paths / folders / message formats this skill should expect
  • TODO: domain context the model cannot infer (naming conventions, thresholds, house style)

Tools, connectors, APIs, and authentication

  • No connectors detected on the source page; base Claude capabilities only
  • TODO: confirm which connectors are enabled in the runtime that will execute this skill
  • Authentication: connectors authenticate via their own OAuth flows — this skill must

NEVER ask for, store, or echo credentials, tokens, or API keys. If auth is missing, stop and tell the user which connector to enable.

Permissions and sensitive actions

  • Reads: TODO (folders, channels, records this skill may read)
  • Writes: TODO (what it may create/modify, and where)
  • Held back for the primary agent / human: sending external communications, financial

transactions, deleting or overwriting originals, submitting web forms

Workflow

  1. Describe the task
  2. Give Claude context (upload spreadsheet)
  3. Review what Claude creates
  4. Follow up with additional prompts (changelog, variance analysis)

TODO: adapt the steps above (from the source page) into imperative instructions for the executing agent, including what to do between steps.

Decision points

  • TODO: list each point where the skill must choose between paths, with the rule to apply
  • Default rule: prefer the reversible option; when two readings of the input are

plausible, surface both rather than picking silently.

Validation criteria

  • Output matches the outcome statement above (spot-check against the seed prompt's asks)
  • Every factual claim is traceable to a provided input, connector record, or cited source
  • All figures reconcile to source statements/workbooks; totals recomputed programmatically, not by eye
  • Flag (never silently correct) discrepancies between model and source data
  • TODO: add one domain-specific check a reviewer in your org would apply

Failure modes and fallbacks

  • Ambiguous or missing input → ask one targeted question; if unattended, state the assumption inline and proceed
  • Any step would take a sensitive/irreversible action → stop and hand back to the user (see Delegation)

Delegation

Apply the repo's delegation policy (docs/delegation-policy.md — bundle or restate it if you install this skill outside the repo). Defaults for this template:

  • Run single-agent unless a step fans out over independent items (files, records,

vendors, channels). Only independent work parallelizes.

  • Each delegated task must ship with: the minimal context slice it needs, an explicit

output contract, a validation check the primary agent runs on the result, and a fallback if it returns empty or fails.

  • Final review, synthesis, and every sensitive action listed above stay with the

primary agent.

  • TODO: name the concrete subtasks (if any) that qualify for delegation here.

Attribution

Derived from Understand and extend an inherited spreadsheet (retrieved 2026-07-26). Seed prompt and workflow content © Anthropic PBC. Scaffold structure original to this repository.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.