Data & IA
Skills pour LLM, bases vectorielles, training de modeles et scraping web.
| # | Skill | Source | Description | ||
|---|---|---|---|---|---|
| 1 | claude-api | anthropics/skills | Construire des applications LLM avec Claude via le SDK officiel adapté au langage. | 127 148 | 127148 |
| 2 | claude-api | anthropics/skills | 127 148 | 127148 | |
| 3 | mcp-builder | anthropics/skills | 127 148 | 127148 | |
| 4 | skill-creator | anthropics/skills | 127 148 | 127148 | |
| 5 | aoti-debug | pytorch/pytorch | 99 587 | 99587 | |
| 6 | aoti-debug | pytorch/pytorch | 99 587 | 99587 | |
| 7 | pt2-bug-basher | pytorch/pytorch | 99 587 | 99587 | |
| 8 | pt2-bug-basher | pytorch/pytorch | 99 587 | 99587 | |
| 9 | open-source | browser-use/browser-use | Automatiser la navigation web en Python avec des agents IA configurables. | 91 656 | 91656 |
| 10 | open-source | browser-use/browser-use | 91 656 | 91656 | |
| 11 | analyzing-financial-statements | anthropics/claude-cookbooks | Calculer et interpréter les ratios financiers clés pour évaluer la performance d'une entreprise. | 41 997 | 41997 |
| 12 | analyzing-financial-statements | anthropics/claude-cookbooks | 41 997 | 41997 | |
| 13 | creating-financial-models | anthropics/claude-cookbooks | Modéliser la valeur d'une entreprise via DCF, Monte Carlo et analyses de scénarios. | 41 997 | 41997 |
| 14 | creating-financial-models | anthropics/claude-cookbooks | 41 997 | 41997 | |
| 15 | agent-governance | github/awesome-copilot | 31 949 | 31949 | |
| 16 | agentic-eval | github/awesome-copilot | 31 949 | 31949 | |
| 17 | ai-prompt-engineering-safety-review | github/awesome-copilot | 31 949 | 31949 | |
| 18 | arize-ai-provider-integration | github/awesome-copilot | 31 949 | 31949 | |
| 19 | arize-annotation | github/awesome-copilot | 31 949 | 31949 | |
| 20 | arize-dataset | github/awesome-copilot | 31 949 | 31949 | |
| 21 | arize-evaluator | github/awesome-copilot | 31 949 | 31949 | |
| 22 | arize-experiment | github/awesome-copilot | 31 949 | 31949 | |
| 23 | arize-link | github/awesome-copilot | 31 949 | 31949 | |
| 24 | arize-prompt-optimization | github/awesome-copilot | 31 949 | 31949 | |
| 25 | arize-trace | github/awesome-copilot | 31 949 | 31949 | |
| 26 | autoresearch | github/awesome-copilot | 31 949 | 31949 | |
| 27 | bigquery-pipeline-audit | github/awesome-copilot | 31 949 | 31949 | |
| 28 | copilot-sdk | github/awesome-copilot | 31 949 | 31949 | |
| 29 | create-llms | github/awesome-copilot | 31 949 | 31949 | |
| 30 | datanalysis-credit-risk | github/awesome-copilot | 31 949 | 31949 | |
| 31 | dataverse-python-advanced-patterns | github/awesome-copilot | 31 949 | 31949 | |
| 32 | dataverse-python-production-code | github/awesome-copilot | 31 949 | 31949 | |
| 33 | dataverse-python-quickstart | github/awesome-copilot | 31 949 | 31949 | |
| 34 | doublecheck | github/awesome-copilot | 31 949 | 31949 | |
| 35 | eval-driven-dev | github/awesome-copilot | 31 949 | 31949 | |
| 36 | geofeed-tuner | github/awesome-copilot | 31 949 | 31949 | |
| 37 | microsoft-agent-framework | github/awesome-copilot | 31 949 | 31949 | |
| 38 | model-recommendation | github/awesome-copilot | 31 949 | 31949 | |
| 39 | phoenix-cli | github/awesome-copilot | 31 949 | 31949 | |
| 40 | phoenix-evals | github/awesome-copilot | 31 949 | 31949 | |
| 41 | phoenix-tracing | github/awesome-copilot | 31 949 | 31949 | |
| 42 | power-bi-dax-optimization | github/awesome-copilot | 31 949 | 31949 | |
| 43 | power-bi-model-design-review | github/awesome-copilot | 31 949 | 31949 | |
| 44 | power-bi-performance-troubleshooting | github/awesome-copilot | 31 949 | 31949 | |
| 45 | powerbi-modeling | github/awesome-copilot | 31 949 | 31949 | |
| 46 | python-mcp-server-generator | github/awesome-copilot | 31 949 | 31949 | |
| 47 | qdrant-clients-sdk | github/awesome-copilot | 31 949 | 31949 | |
| 48 | qdrant-indexing-performance-optimization | github/awesome-copilot | 31 949 | 31949 | |
| 49 | qdrant-minimize-latency | github/awesome-copilot | 31 949 | 31949 | |
| 50 | qdrant-model-migration | github/awesome-copilot | 31 949 | 31949 |