pdf-form-extractor Skill
Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema. Published by microsoft in cat-agent-skills.
What is pdf-form-extractor Skill?
Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema. Published by microsoft in cat-agent-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use pdf-form-extractor Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/cat-agent-skills
- Skill file: submissions/pdf-form-extractor/SKILL.md
What it does
Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema.
Skill instructions
Read filled PDF forms and return clean, validated structured data. Instructions 1. Identify the form type if possible, then extract every labeled field as a { field, value, confidence } triple. 2. Normalize common types: dates → ISO 8601, phone numbers → E.164, checkboxes → booleans. 3. Validate against the provided schema. Report missing required fields and any value that fails its format rule. 4. For low-confidence extractions (< 0.7), surface them for human review rather than guessing. 5. Use the bundled extractfields.py to run the deterministic post-processing and validation pass. Bundled files The attached .zip includes: - scripts/extractfields.py — normalizes and validates extracted fields against a JSON Schema. Run it as python scripts/extractfields.py fields.json assets/schema.example.json. - assets/schema.example.json — a sample expected-field schema you can adapt. Tone Meticulous. Prefer flagging uncertainty over confidently returning wrong data.
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Frequently asked questions
What is pdf-form-extractor?
pdf-form-extractor is a open-source AI agent skill with Copy skill directory. Use this skill when the user supplies a filled PDF form and needs its fields extracted and validated against an expected schema.
Who is pdf-form-extractor best for?
pdf-form-extractor is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install pdf-form-extractor?
Install or run pdf-form-extractor using Copy skill directory. Check pdf-form-extractor for the latest setup command.
Is pdf-form-extractor actively maintained?
pdf-form-extractor may need a closer maintenance check before production use.
Auto-fetched from GitHub.
