.claude/skills/TEMPLATE/SKILL.md
# Skill: {{BLANK_1_SKILL_NAME}} ## Purpose {{BLANK_2_WHEN_TO_FIRE}} ## When to Use Fires automatically when the user asks Claude to do something that matches the trigger condition above. ## Instructions 1. Detect the trigger condition 2. Execute your guardrail check 3. If the check matters, print a clear, visible warning with "{{BLANK_3_SIGNATURE_PHRASE}}" as the first line 4. Continue with the analysis, incorporating the warning into the output ## Anti-Patterns - Do not fire when the condit
npx skillsauth add ai-analyst-lab/ai-analyst .claude/skills/TEMPLATEInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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{{BLANK_2_WHEN_TO_FIRE}}
Fires automatically when the user asks Claude to do something that matches the trigger condition above.
development
# Skill: Visualization Patterns ## Purpose Ensure every chart Claude Code produces follows high-quality design standards with named themes, consistent styling, and clear data communication. ## When to Use Apply this skill whenever generating a chart, graph, or data visualization. Always apply the active theme unless the user specifies otherwise. Default theme: `minimal`. ## Instructions ### Pre-flight: Load Learnings Before executing, check `.knowledge/learnings/index.md` for relevant entrie
development
# Skill: Triangulation / Sanity Check ## Purpose Cross-reference analytical findings against multiple data sources, external benchmarks, and common sense to catch errors before they become bad decisions. ## When to Use Apply this skill after every analysis, before presenting findings to stakeholders, and whenever a result seems surprising. If a finding would change a decision, it MUST be triangulated first. ## Instructions ### Triangulation Framework Every finding gets checked through four
data-ai
# Skill: Tracking Gap Identification ## Purpose Assess whether the data needed for an analysis actually exists, identify what's missing, and produce prioritized instrumentation requests for engineering when gaps are found. ## When to Use Apply this skill after the Data Explorer agent inventories available data, when an analysis requires data that might not exist, or when initial query results suggest incomplete tracking. Run before committing to an analysis approach. ## Instructions ### Gap
testing
# Skill: Switch Dataset ## Purpose Change the active dataset. Updates the active pointer, validates the target dataset exists, and confirms with a summary of what's now active. ## When to Use Invoke as `/switch-dataset {name}` when the user wants to analyze a different dataset than the currently active one. ## Instructions ### Step 1: Validate the target dataset 1. Read `data_sources.yaml` to check if `{name}` exists as a registered source 2. If not found, try fuzzy matching (case-insensiti