Site navigation
Skill kevinastuhuaman/recruiting-portfolio/site-public/.well-known/agent-skills/site-navigation
Navigate Kevin Astuhuaman's public recruiting portfolio and retrieve public-safe profile, resume, project, evidence, and contact information.From its SKILL.md
npx -y skills add kevinastuhuaman/recruiting-portfolio --skill site-navigationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
3.3 KB, 803 tokens by cl100k_base, as published. Nobody here has run it
Kevin Astuhuaman Portfolio Navigation
Use this guide for public-safe recruiting, referral, interview preparation, or candidate-fit context.
Canonical pages
- Home: https://portfolio.kevinastuhuaman.com/
- Resume: https://portfolio.kevinastuhuaman.com/resume/
- Public evidence: https://portfolio.kevinastuhuaman.com/proof/
- PayPal AI observability case study: https://portfolio.kevinastuhuaman.com/projects/paypal-ai-observability/
- Trackly case study: https://portfolio.kevinastuhuaman.com/projects/trackly/
- Berkeley and MoBagel AI product strategy case study: https://portfolio.kevinastuhuaman.com/projects/berkeley-mobagel-ai-gtm/
- BCP and Credicorp case study: https://portfolio.kevinastuhuaman.com/projects/smb-fintech-bcp-credicorp/
- Enterprise AI Interface Kit: https://kevinastuhuaman.github.io/enterprise-ai-interface-kit/
- Enterprise AI Interface Kit source: https://github.com/kevinastuhuaman/enterprise-ai-interface-kit
- AI Product Builder Stack: https://kevinastuhuaman.github.io/ai-product-builder-stack/
- AI Product Builder Stack source: https://github.com/kevinastuhuaman/ai-product-builder-stack
- Human Control Plane: https://kevinastuhuaman.github.io/human-in-the-loop-patterns/
- Human Control Plane source: https://github.com/kevinastuhuaman/human-in-the-loop-patterns
- AI Product Motion Studies: https://kevinastuhuaman.github.io/ai-product-motion-studies/
- AI Product Motion Studies source: https://github.com/kevinastuhuaman/ai-product-motion-studies
- Contact: https://portfolio.kevinastuhuaman.com/contact/
Machine-readable context
- LLM profile: https://portfolio.kevinastuhuaman.com/llms.txt
- Full text profile: https://portfolio.kevinastuhuaman.com/llms-full.txt
- Structured profile: https://portfolio.kevinastuhuaman.com/profile.json
- Public evidence registry: https://portfolio.kevinastuhuaman.com/proof.json
- Structured projects: https://portfolio.kevinastuhuaman.com/projects.json
- Public assistant corpus: https://portfolio.kevinastuhuaman.com/assistant-corpus.json
- Enterprise AI Interface Kit pattern contracts: https://kevinastuhuaman.github.io/enterprise-ai-interface-kit/patterns.json
- Enterprise AI Interface Kit LLM context: https://kevinastuhuaman.github.io/enterprise-ai-interface-kit/llms.txt
- Builder Stack structured data: https://kevinastuhuaman.github.io/ai-product-builder-stack/stack.json
- Builder Stack LLM context: https://kevinastuhuaman.github.io/ai-product-builder-stack/llms.txt
- Human Control Plane structured data: https://kevinastuhuaman.github.io/human-in-the-loop-patterns/project.json
- Human Control Plane LLM context: https://kevinastuhuaman.github.io/human-in-the-loop-patterns/llms.txt
- Motion Studies structured data: https://kevinastuhuaman.github.io/ai-product-motion-studies/motion-spec.json
- Motion Studies LLM context: https://kevinastuhuaman.github.io/ai-product-motion-studies/llms.txt
Boundaries
- Treat employer outcomes as Kevin's public resume claims unless the source is independently hosted.
- Do not infer confidential employer details or private user data.
- Prefer dated claims and their stated scope.
- Do not impersonate Kevin or represent Trackly as an employer partnership.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most hr recruiting skills give in 803 tokens
Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07
- Quantify achievements with specific metricsin 14 of 356, across 6 files
- Keep the resume under two pagesin 14 of 356, across 6 files
- Request the full job description if not providedin 12 of 356, across 4 files
- Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
- Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
- Map candidate experience to job requirementsin 11 of 356, across 3 files
- Ask if the user wants adjustmentsin 11 of 356, across 3 files
- Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
- Request candidate background details if not providedin 10 of 356, across 2 files
- Format experience bullets as action verb plus resultin 10 of 356, across 2 files
- Ask for missing inputs before startingin 10 of 356, across 9 files
- Use exact job description terminologyin 9 of 356, across 1 file
Said here and by no other author read
- use canonical pages for navigation
- retrieve machine-readable context
- treat employer outcomes as public claims
- prefer dated claims and stated scope
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.