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Turn stock, industry, strategy, or backtest research into structured Markdown reports. Present conclusions, supporting data, ratings, risks, and recommendations using consistent tables and terminology, with PDF delivery supported through the specified rendering tool.
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Integrate the Gemini API on Agent Platform using the Google Gen AI SDK. Guidance covers authentication, text and multimedia tasks, structured JSON responses, live voice interactions, context caching, and batch prediction across five programming languages.
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Turn a marketing goal into a campaign brief covering audience, messages, channels, required content, and success measures. Build a weekly content calendar with dependencies, plus budget allocation when provided, risks, and immediate next steps.
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Delegate code exploration, feature development, bug fixes, and reviews to Qwen Code through acpx, a command-line client for communicating with agents. Use ongoing sessions, separate task sessions, and structured output to coordinate development work.
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Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.
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Audit how a local business appears on map platforms. Analyze location-based rankings, reviews, nearby competitors, and inconsistent business details, then receive prioritized recommendations and structured business data for website use, depending on the connected APIs.
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Create an AI impact assessment in your team's format. Gather system details through conversation, analyze risks and applicable regulatory classifications, check consistency with internal policy, and document recommendations, safeguards, and conditions for deployment.
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Turn a rough interface idea into a structured prompt for Stitch, with clear page sections, colors, and component details. When available, existing design rules are included to guide consistent screens or focused edits.
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Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.
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Turn structured documents and a research goal into four cards covering facts, explanations, risks, and suggested actions. Source references and generation details help readers trace the evidence and review uncertainty or overstated claims.
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Standardize Chinese Git commit messages and changelogs using Conventional Commits, a structured message format. The skill provides writing rules and configuration examples for message checks, interactive commit entry, and automatic changelog generation.
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Generate PDF checklists, reports, and assessments with sections, tables, and scoring criteria using Python. Choose a suitable library, save the document for download, and check the output, with shell execution as an alternative when the sandbox fails.
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Create PDF checklists, reports, and scorecards with Python in a sandbox, an isolated code execution environment. The workflow covers choosing a library, arranging headings and tables, generating the document, and checking that the output file exists.
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Collect Trustpilot reviews for a company domain, with filters for ratings, language, dates, and reply status. Get structured review text, reviewer details, and company responses across pages to support reputation research and customer service analysis.
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Find a company's official website and social profiles from its name, or extract social profile links from a website URL. Structured results help fill gaps in sales contact lists and research a company's online presence.
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Review LinkedIn campaign exports or pasted metrics to identify weak click rates, audience targeting issues, form friction, and inefficient spending. Receive a structured audit with B2B benchmark comparisons and prioritized recommendations.
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Research industrial AI topics such as predictive maintenance and anomaly detection. Compare papers by methods and publication venues, distinguish preprints from reviewed work, identify conflicting findings and research gaps, or build an evidence-based survey draft.
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Turn a research interest into a defined question and practical plan. Use structured brainstorming, literature review, gap analysis, and method comparison to produce a research proposal, organized review, and references, with Zotero support for paper management.
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Turn observations or preliminary data into competing scientific hypotheses grounded in literature. It compares explanations, evaluates how they could be tested or disproved, and proposes experiments and measurable predictions in a structured report with diagrams.
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Turn a rough request into a structured AI prompt with a clear goal, output format, and constraints. For complex work, add smaller tasks, separate creator and reviewer roles, and explicit checks for accuracy and uncertainty.
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Build testable scientific hypotheses from observations or preliminary data. Compare competing explanations against published evidence, define measurable predictions, and propose experiments, then organize the findings into a research report with diagrams and detailed supporting material.
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Design new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.
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Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS, etc.) with aws:SourceAccount/aws:SourceArn trust conditions. Applies when creating IAM roles, writing IAM or bucket policies, generating policies from application source code or a Terraform plan JSON, working with STS, Organizations, or condition operators, or any task needing a service or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.
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Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, structured data presence and validity, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use for ONE finished post when the user says "seo check", "validate seo", "on-page seo", "title tag check", "link audit". Not for a whole-site audit (blog-audit, claude-seo), AI-citation scoring (blog-geo), schema generation (blog-schema), or the delivery gates (blog_preflight.py).
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