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Skill for first article inspection planning and execution per AS9102
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Based on SOC occupation classification
| name | fai-inspection |
| description | Skill for first article inspection planning and execution per AS9102 |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"mechanical-engineering","domain":"science","category":"testing-validation","priority":"high","phase":4,"tools-libraries":["CMM software","QMS systems","AS9102 templates"]} |
| graph | {"domains":["domain:mechanical-engineering"],"skillAreas":["skill-area:physics-simulation","skill-area:mathematical-reasoning","skill-area:motion-planning"],"roles":["role:systems-integration-engineer","role:research-engineer"]} |
The First Article Inspection skill provides capabilities for planning and executing first article inspections per AS9102, enabling comprehensive verification of manufacturing processes and design conformance.
Full FAI required when:
- New part number
- Design change affecting form/fit/function
- Change in manufacturing process/location
- Tooling inactive > 2 years
- Manufacturing process change
- Natural/human-made event affecting process
Allowed when:
- Minor design change
- Controlled process change
- Tooling modification
Only affected characteristics need re-inspection
Drawing Review
Characteristic Types
| Type | Symbol | Definition |
|---|---|---|
| Standard | None | Normal inspection |
| Critical | Triangle/diamond | Safety/function critical |
| Major | M in circle | Important for assembly |
| CTQ | Key symbol | Customer specified |
Ballooning requirements:
- Unique number for each characteristic
- Sequential numbering preferred
- Reference to original dimension
- Include notes and specifications
- Mark special characteristics
Required fields:
- Part number and name
- Part revision level
- Drawing number and revision
- Organization name and code
- FAI report number
- Signature and date
- Part serial number
- FAI reason (new/change)
Material verification:
- Material specification
- Raw material supplier
- Material certifications
- Heat/lot traceability
Process verification:
- Special processes (heat treat, plating, NDT)
- Process specification
- Processor certification
- Process parameters
Functional testing:
- Test requirements
- Test results
- Pass/fail status
For each characteristic:
- Characteristic number (balloon)
- Reference location (drawing zone)
- Characteristic designator (if special)
- Requirement (nominal and tolerance)
- Results (actual value)
- Designed tooling (Y/N)
- Non-conformance number (if applicable)
| Tolerance | Accuracy Required | Typical Method |
|---|---|---|
| +/- 0.5 mm | 0.05 mm | Caliper |
| +/- 0.1 mm | 0.01 mm | Micrometer |
| +/- 0.025 mm | 0.002 mm | CMM |
| +/- 0.005 mm | 0.0005 mm | Precision CMM |
| Characteristic | Measurement Method |
|---|---|
| Flatness | CMM scan, optical flat |
| Perpendicularity | CMM, square fixture |
| Position | CMM, functional gage |
| Concentricity | CMM, roundness tester |
| Runout | V-blocks + indicator |
| Profile | CMM, optical comparator |
CMM measurement strategy:
1. Establish datum reference frame
2. Measure datum features first
3. Measure located features
4. Use appropriate probe compensation
5. Verify measurement uncertainty
6. Document probe configuration
| Disposition | Application | Authority |
|---|---|---|
| Use As-Is | Minor deviation, no impact | Engineering |
| Rework | Can be brought to spec | Quality |
| Repair | Alternate method to restore | Engineering |
| Scrap | Cannot be made conforming | Quality |
| Return to Supplier | Vendor issue | Purchasing |
Non-conformance record:
- NC number
- Characteristic affected
- Requirement
- Actual condition
- Root cause analysis
- Corrective action
- Disposition and approval
Approval workflow:
1. Inspector completes inspection
2. Quality review forms
3. Engineering review (if NC exists)
4. Quality approval signature
5. Customer approval (if required)
6. Archive and distribution
{
"part_info": {
"part_number": "string",
"revision": "string",
"description": "string",
"drawing_number": "string"
},
"fai_type": "full|partial|delta",
"trigger": "new_part|design_change|process_change|other",
"previous_fai": "string (if partial/delta)",
"special_requirements": {
"customer_approval": "boolean",
"special_processes": "array"
}
}
{
"fai_plan": {
"fai_number": "string",
"balloon_drawing": "file reference",
"characteristic_count": "number",
"measurement_methods": "array"
},
"fai_forms": {
"form_1": "document reference",
"form_2": "document reference",
"form_3": "document reference"
},
"results_summary": {
"total_characteristics": "number",
"conforming": "number",
"non_conforming": "number",
"nc_numbers": "array"
},
"approval_status": {
"status": "approved|conditional|rejected",
"conditions": "array (if conditional)",
"approved_by": "string",
"date": "date"
}
}
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.