Loading...
Loading...
Found 301 Skills
Guidance for interpreting SPAA (Stack Profile for Agentic Analysis) files. Provides information on the file format, as well as tips on how to use it to identify performance bottlenecks, memory leaks, or opportunities for optimization. Use when the user is trying to read a .spaa file to understand the performance of an application.
Profile a new tabular dataset before modeling. Find target leakage, missing data patterns, high-cardinality categoricals, near-constant features, redundant pairs, and non-linear relationships that Pearson correlation misses. Use whenever the user hands you a CSV or parquet and asks "what should I do with this?" Always run this skill before training any model on data you haven't seen before.
Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
진단 대화 시작점. 학습자의 직무/경력/AI 경험/사전 지식/학습 목적을 5문항으로 파악하고 학습 경로를 제안할 때 사용.
Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market.
Render JSON artifacts into readable UI with an inspect-first, facts-first workflow. Use when Codex needs to turn JSON files, JSON-producing shell commands, CLI output artifacts, or unknown structured payloads into a declarative UI spec that can be rendered natively by the harness or through a terminal-native reference renderer, including cases with repeated child records encoded as aligned arrays.
Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS). Use when user references a data file, asks "what's in this file", or wants to preview/profile a dataset. Not for source code.
Profile and optimize application performance including load times, memory usage, and rendering. Use when debugging slow performance, memory leaks, or optimizing app speed.
Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug information, or mention PubChem CID, ChEMBL ID, SMILES, InChI, or compound names.
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
LinkedIn post generation from meeting transcripts, Slack dumps, and other source material, written in the user's personal writing style. Use this skill when: generating LinkedIn posts, creating social content from internal material, ghostwriting LinkedIn content, or when the user mentions LinkedIn, social posts, or content generation from transcripts/notes. Supports personal style profiles stored locally per user. Can auto-pull source material from Fireflies.ai, Slack channels, and Google Drive.