Agent skill
data-context-extractor-step-1-load-existing-skill
Sub-skill of data-context-extractor: Step 1: Load Existing Skill (+3).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/analytics/data-context-extractor/step-1-load-existing-skill
SKILL.md
Step 1: Load Existing Skill (+3)
Step 1: Load Existing Skill
Ask user to upload their existing skill (zip or folder), or locate it if already in the session.
Read the current SKILL.md and reference files to understand what's already documented.
Step 2: Identify the Gap
Ask: "What domain or topic needs more context? What queries are failing or producing wrong results?"
Common gaps:
- A new data domain (marketing, finance, product, etc.)
- Missing metric definitions
- Undocumented table relationships
- New terminology
Step 3: Targeted Discovery
For the identified domain:
-
Explore relevant tables: Use
~~data warehouseschema tools to find tables in that domain -
Ask domain-specific questions:
- "What tables are used for [domain] analysis?"
- "What are the key metrics for [domain]?"
- "Any special filters or gotchas for [domain] data?"
-
Generate new reference file: Create
references/[domain].mdusing the domain template
Step 4: Update and Repackage
- Add the new reference file
- Update SKILL.md's "Knowledge Base Navigation" section to include the new domain
- Repackage the skill
- Present the updated skill to user
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-complete-milestone
Archive completed milestone and prepare for next version
gsd-reapply-patches
Reapply local modifications after a GSD update
gsd-verify-work
Validate built features through conversational UAT
gsd-thread
Manage persistent context threads for cross-session work
clinical-trial-protocol
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Didn't find tool you were looking for?