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VectorInstitute
GitHub-Creator-Profil

VectorInstitute

Repository-Ansicht von 24 gesammelten Skills in 2 GitHub-Repositories.

gesammelte Skills
24
Repositories
2
aktualisiert
2026-07-01
Repository-Explorer

Repositories und repräsentative Skills

research-playbook
Marktforschungsanalysten und Marketingspezialisten

How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.

2026-07-01
research-playbook
Marktforschungsanalysten und Marketingspezialisten

How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.

2026-07-01
research-playbook
Marktforschungsanalysten und Marketingspezialisten

How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.

2026-07-01
research-playbook
Marktforschungsanalysten und Marketingspezialisten

How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.

2026-07-01
repo-navigation
Softwareentwickler

Reference guide for the repo concierge catalog — domain filters, the search-then-fetch workflow, and bootcamp routing. Load references/catalog-guide.md before your first answer. No scripts.

2026-07-01
code-analysis-playbook
Datenwissenschaftler

How to use the code execution sandbox well — parse the JSON payload (not disk files), compute a couple of useful diagnostics before forecasting, and keep the session stateful within a turn. Load this before writing code. No scripts.

2026-06-23
forecasting
Datenwissenschaftler

The output contract for producing a structured probability distribution over the rate decision (cut / hold / hike) — the JSON shape, the calibration rules, and how to submit it. Load this ONLY when your task payload asks for a forecast; ignore it for open-ended questions. No scripts.

2026-06-23
code-analysis-playbook
Datenwissenschaftler

How to use the code execution sandbox well — parse the JSON payload (not disk files), compute a couple of useful diagnostics before forecasting, and keep the session stateful within a turn. Load this before writing code. No scripts.

2026-06-23
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