Analyze complex tasks before implementation through four structured phases. Clarify the problem, examine dependencies and impacts, challenge assumptions, and compare alternatives to produce a decision rationale, explicit uncertainties, and actionable recommendations.
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Guide feature changes and bug fixes through test-driven development: write a failing test, add the minimum code to pass, then improve the structure. Check coverage and include tests for boundary conditions, errors, and relevant integration points.
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Build PyTorch machine learning workflows for molecules, proteins, and biomedical relationships. Get guidance on datasets, model selection, training, and evaluation for property prediction, protein modeling, molecule generation, and planning synthesis routes from target molecules.
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Organize paper or report submissions with stage-specific checklists and templates. Link checks to actual files, prepare cover letters, and track each reviewer comment alongside the response, revision, and location of the change.
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Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.
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Create concise medical treatment plans in LaTeX and PDF, covering goals, interventions, timelines, and monitoring. Templates support chronic disease care, rehabilitation, mental health, and perioperative care, with a first-page summary and diagrams showing care pathways.
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Turn text into audio files for narration, product demos, phone prompts, or accessibility reads using the OpenAI Audio API. Choose built-in voices and delivery directions, then generate a single clip or a batch of files.
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Turn implementation plans and specifications into an ordered tasks.md checklist. Organize work around user stories, meaning goals expressed from a user's perspective, with file paths, dependencies, parallel work opportunities, and independent verification criteria.
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Write and edit Remotion documentation pages with consistent API explanations, clear headings, and TypeScript-checked code examples. Follow the project workflow to add navigation entries, generate social preview cards, and verify that documentation builds successfully.
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Search UniProt for proteins by name, gene, or organism and retrieve sequences and functional annotations. Supports FASTA, a text format for sequences, identifier conversion between databases, batch retrieval, and downloads of large result sets through its REST API.
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Turn user data and interviews into research-backed personas, or representative user profiles. The toolkit also supports mapping user journeys, planning usability tests, and combining research findings to guide and validate design decisions.
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Execute an existing implementation plan in the current session by assigning each task to a fresh subagent, a separate agent handling delegated work. Each task receives a specification review followed by a code quality review, with fixes rechecked.
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Investigate bugs, failing tests, and build errors through reproduction, logs, and comparisons with working code. Follow a staged process to test possible causes, implement a focused fix, and check that the problem is resolved.
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Retrieve U.S. federal financial data from the Treasury Fiscal Data API, a public data service. Filter debt, revenue, spending, interest rates, and exchange rates by date or field to prepare records for analysis.
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Create finished videos from existing clips, audio, images, and copy using local FFmpeg. Remove silent pauses, embed supplied subtitles, adjust volume, and prepare video dimensions and encoding for Shorts, Reels, or TikTok.
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Process large CSV and TSV files from the terminal with filtering, sorting, deduplication, grouping, and joins. The skill uses xan CLI, a command-line tool, for streaming workflows that keep memory use low.
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Build queryable collections of genomic variants from VCF and BCF files, formats for recording genetic differences. Covers compressed storage, incremental sample additions, searches by genomic region or sample, and exporting subsets for further analysis.
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Diagnose and fix Claude Code plugin hook failures on Windows. Covers conflicts between WSL and Git Bash, path handling problems, and errors involving .sh arguments, using error messages and configuration files.
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Analyze tabular datasets too large to fit in memory using Vaex. Filter rows, calculate statistics, visualize distributions, convert file formats, and prepare machine learning workflows with operations that defer computation until results are needed.
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Create or update a project's governing development principles, covering code quality, testing, and architectural constraints. Maintain the constitution document, record version changes, and align related planning, specification, and task templates with the revised rules.
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Guides statistical analysis in Python, including regression, time series forecasting, and hypothesis tests. Helps interpret estimates and uncertainty, check model assumptions, investigate influential observations, compare models, and produce statistical tables for reporting.
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Build reinforcement learning experiments, where agents learn actions from rewards, using Stable Baselines3. Get guidance on choosing algorithms, creating Gymnasium environments, training and evaluating agents, monitoring progress, and saving models for later use.
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Turn tasks in tasks.md into individual GitHub issues after breaking down work. The skill checks the repository’s remote URL and creates issues in the matching GitHub repository so the tasks can be tracked there.
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Investigate web topics through repeated searches, page visits, link following, and evidence checks. Produce a structured report with source records, working notes, and an action log that lets readers review how findings were reached.
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