Run a Talent-Augmenting Layer onboarding assessment to build your personalised AI profile. Takes ~15 minutes of conversation. Use when a user wants to create or redo their profile.
How this skill is triggered — by the user, by Claude, or both
Slash command
/talent-augmenting-layer:talent-assessThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Run a Talent-Augmenting Layer onboarding assessment. Profile is always saved locally. MCP tools used for scoring when available.
Run a Talent-Augmenting Layer onboarding assessment. Profile is always saved locally. MCP tools used for scoring when available.
mcp-server/src/assessment.py (question banks SECTION_A_QUESTIONS, SECTION_B_QUESTIONS, SECTION_D_QUESTIONS, ESA_ANCHORS, domain taxonomy via suggest_domains()).profiles/pro-*.md or profiles/tal-*.md for this user, note it and confirm they want to replace it.talent_assess_score with the raw answers.assessment.py directly.generate_profile_markdown() template from assessment.py).profiles/pro-{name}.md (lowercase, kebab-case).talent_suggest_domains (or the taxonomy in assessment.py), rate each 1-5 on the ESA scale, validate with behavioural examples. Aim for 5-10 domains.npx claudepluginhub angelo-leone/talent-augmenting-layer --plugin talent-augmenting-layerProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.