Analysis Readiness Check
SkillDatabases & dataDecide if a dataset/project is ready for a specific spatial analysis (buffer, overlay, join, routing) and list blockers + preflight steps.
Use Analysis Readiness Check in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Analysis Readiness Check skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by danmaps/gis-agent-skills in skills/analysis-readiness-check/SKILL.md and read by Ahel’s review.
Answer: "Should I even run this yet?"
Inputs
- Dataset or project context (paths, layer names, storage type, projection info if known)
- Intended operation:
- buffer
- overlay (intersect/union/erase)
- spatial join
- routing/network analysis
- raster analysis
- Constraints (optional): performance target, platform (Pro vs AGOL), deadline
What to check (decision tree)
1) Basic integrity
- Missing geometries, empty layers, obviously wrong extents
- Geometry validity (self-intersections, null shapes, mixed types)
- Unexpected duplicates in ID fields
2) Spatial reference + units
- Are inputs in compatible projections?
- Are distance/area units appropriate for the requested operation?
- If geographic coords (degrees) are used for distance operations, flag as not ready.
3) Attribute readiness
- Join keys: type, null rate, uniqueness, indexing
- Coded values/domains: is interpretation clear?
- Required fields present (e.g., speed/impedance for routing)
4) Performance + scaling risk
- Estimated feature counts and geometry complexity
- Network share vs local disk vs enterprise DB
- Obvious index needs (spatial + join fields)
5) Output expectations
- Define what “correct output” means (units, schema, fields, topology)
- Identify validation checks to run after execution (see
post-run-validation)
Output
- Verdict: Ready / Not ready
- Blocking issues: a short list (max ~5) with plain-language impact
- Recommended preflight: ordered checklist to become ready
- Optional: safest “first run” settings (scratch workspace, env settings, chunking)
Tooling hints
- If ArcGIS Pro context is available, prefer using
arcgispro_cliexports to ground the check:arcgispro status --jsonarcgispro layers --jsonarcgispro tables --json
Example prompt
User: "Can I run a parcel buffer + intersect with zoning yet?" Output: Not ready (projection is geographic; join field null spike; spatial index missing). Provide a 5-step preflight plan.
Signals
- GitHub stars
- 29
- Forks
- 2
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
analysis-readiness-check- Source
- github.com/danmaps/gis-agent-skills
github.com/danmaps/gis-agent-skills
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