AutoGPT

Use before a reply, script, macro, or KB article goes out in a regulated segment: check it against the regimes in play and route what fails.

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Take a competitor apart in a way that changes a decision: what they promise, who they are built for, where they are weak, and what we should do about it.

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When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.

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Use when the user names a competitor, a battlecard, or win-loss, or asks how you win against someone: the CI brief with landscape, change blocks, pricing read, and win strategy.

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Find and explain company policies in plain language. Trigger with "what's our PTO policy", "can I work remotely from another country", "how do expenses work", or any plain-language question about benefits, travel, leave, or handbook rules.

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Set up communications work from facts, spokespeople, approved messages, approval owners, and off-limits topics.

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Decide whether a CVE or advisory matters to the actual stack and show the data behind that judgement.

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Use on the first conversation with Daniel, or whenever no finance preferences are saved yet: learn the revenue model, the books, the thresholds that count as too far, and where the numbers live, then get to a first read.

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Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

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Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

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Set up a deal desk record from source evidence, approval rules, owners, dates, and a firm line between drafts and commitments.

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Use for the money side of a deal: the deal P&L, margin floors and discount bands, approval routing, the concession log, and the mix impact of a price change.

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Review a deal for evidence gaps across need, scope, stakeholders, process, competition, delivery, security, legal, and commercial approval.

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Use when the user needs an ideal partner profile: who to recruit, in what tiers, what good looks like, and who to say no to.

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Review a dependency change for breaking APIs, runtime shifts, supply-chain risk, test gaps, rollout risk, and rollback quality.

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Build an evidence-backed inventory of direct, transitive, runtime, development, and container dependencies.

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Set up dependency and security hygiene from repository evidence, with a clear scope, source list, risk queue, and approval line.

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Plan a small, testable dependency upgrade with compatibility checks, owners, rollout evidence, and rollback steps.

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Draft a narrow dependency upgrade pull request with evidence, code changes, tests, risk notes, and rollback instructions.

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Use when the portfolio needs program-level design: tiers, incentives, the MDF loop end to end, certifications, and enforced partner-system rules.

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Use when the user names developers, API adoption, docs, SDKs, or a bottom-up motion: the developer motion plan with funnel, content spine, and conversion points.

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Use when the user names a release, a launch date, or a launch tier, or asks whether the business is ready to launch: the readiness assessment, sequenced plan, enablement spec, and 90-day measure.

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Use when an outsourced support vendor handles your customers: audit the queue, score the sample, calibrate the vendor, and lift capability with evidence.

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Set up a safe bookkeeping intake: reporting period, source records, chart of accounts, owners, approval rules, and open gaps.

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