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Found 160 Skills
Suggests code simplification opportunities. Identifies extract method candidates, complex expressions, redundant code, refactoring opportunities.
Builds site selection and cannibalization analysis workflows in CARTO. Triggers when the user mentions site selection, cannibalization, cannibalizing, new store location, where to open, optimal location, facility placement, network impact, overlapping catchments, twin areas, similar locations, look-alike areas, find locations like my best, store overlap, revenue impact of new store, commercial hotspots, demand hotspots, location scoring, location ranking, expand network, new branch, franchise placement, EV charging siting, or wants to evaluate candidate sites, quantify overlap between trade areas, or find areas that resemble top-performing locations.
Builds trade area and catchment analysis workflows in CARTO. Triggers when the user mentions trade area, catchment area, isochrone, site selection, where to open, best location, billboard, OOH, audience targeting, drive time, walk time, coverage area, commercial hotspot, site scoring, location ranking, or wants to generate isochrones, score candidate locations, or identify the best sites for retail, advertising, or services.
Research a vendor, product, or feature to collect all information needed before building an Elastic integration. Investigates data collection methods, API or log documentation, sample data formats, field schemas, ECS mapping candidates, and configuration requirements. Outputs a structured research brief to research_results/<product>/. Invoke manually with /research-integration.
Guided discovery of a product idea by mining what the founder already knows or already does — covers source selection (business vs. expertise), context capture, pattern synthesis, candidate scorecard, and writes `docs/product-idea.md`. Use when the founder says "generate an idea", "help me find an idea", "what should I build", "product idea from my business", "product idea from my expertise", or otherwise needs to discover a product concept worth building.
Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.
Skill for in-depth rewriting of Chinese articles. Must be triggered when users request "rewrite", "rephrase", "polish and restructure", "expand", "translate and rewrite", "adapt to WeChat Official Account/Zhihu style", "make this article more suitable for publication", or "optimize the expression or structure of this article". Supports three input types: inline text, file path, and URL; supports three modes: quick, standard, and publish; can supplement the latest information as needed and generate 5 title candidates. This skill should also be used even if users only say "revise this article", "translate into Chinese and rewrite", or "help me organize this into a publishable article".
Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.
This skill should be used when the user needs to create a personalized, compelling cover letter from a resume and job description. Use when writing job application letters, addressing specific role requirements, handling career change narratives, or structuring persuasive arguments for candidacy.
Route creator discovery requests into the right collection strategy before platform execution. Use this when the user wants to find creators, KOLs, KOCs, influencers, or partnership candidates and the request includes constraints such as follower range, niche, audience, geography, language, or collaboration fit. This skill decides whether to use handle-first, content-first, graph-first, or mixed discovery, then hands off to TikTok, Instagram, X, and creator-outreach skills.
Design and evaluate vaccine candidates using computational immunology tools. Covers epitope prediction (MHC-I/II binding via IEDB), population coverage analysis, antigen selection, adjuvant matching, and immunogenicity assessment. Integrates IEDB for epitope prediction, UniProt for antigen sequences, PDB/AlphaFold for structural epitopes, BVBRC for pathogen proteomes, and literature for clinical precedent. Use when asked about vaccine design, epitope prediction, immunogenicity, MHC binding, T-cell epitopes, B-cell epitopes, or population coverage for vaccine candidates.
Investigate transcription factor binding, cis-regulatory elements, chromatin accessibility, and regulatory variant annotation. Use when asked about TF binding sites, enhancers, promoters, ChIP-seq data, ATAC-seq signals, candidate cis-regulatory elements (cCREs), or the regulatory impact of genomic variants.