About this skill

What Problem It Solves

Pharmaceutical competitor research often requires tracking product, clinical, market, and regulatory signals across fragmented sources. This skill frames the workflow as an explicit environment and authorization gate, preventing unsupported conclusions when Python or platform credentials are missing.

How It Works

Detect Python first: run a silent check before scripts, prefer PYTHON_CMD, and on Windows prefer py -3.
Authorize automatically: use scripts/auth.py --ensure; if AUTH_REQUIRED or AUTH_INVALID appears, call WorkBuddy connect_cloud_service for a JWT and bind it.
Fetch protected content: continue only after scripts/protected.py returns protected instructions; stop business inference if authorization fails.

Boundaries and Notes

It is intended for authorized BaitongAI/WorkBuddy-connected workflows, not for offline local execution or bypassing platform checks. The key constraint is that the auth gate outranks output: after two failures, stop retrying, report stdout signals and stderr errors, and do not expose secrets.

Screenshots

Use Cases

Structure pre-launch competitive intelligence around pipeline, indication, and market progress.
Diagnose protected-data authorization failures using stdout signals and stderr logs.
Verify a local interpreter before starting research scripts when the environment is uncertain.
Prepare a deep competitor research brief for launch, partnership, or regulatory teams.

Best For

Pharma BD staff who need to map competitor pipelines, indications, and partnership windows before outreach.
Regulatory or medical information staff who need traceable competitor clinical progress notes.
AI workflow engineers who integrate protected data services and handle authorization failure reports.
Product strategy staff who prepare structured competitor market summaries for launch review.

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