#kills

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

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Governed skills for every AI agent your team runs. Curate one approved library of agent skills, distribute it to developers, and expose it over MCP to remote agents without copying files across machines.

Skillhub MCP bridges that gap: it turns Claude-style skills into MCP tools, so any MCP client can call the same skills.

AI-optimized PostgreSQL expertise for coding assistants. pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: - Semantic search across the official PostgreSQL manual (version-aware) - AI-optimized “skills” available through MCP tools — curated, opinionated Postgres best practices used automatically by AI agents - Extension ecosystem docs, starting with TimescaleDB, with more coming soon

Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water. Bonnard is a CLI for building and deploying semantic layers. Define metrics and dimensions in YAML, deploy a governed MCP server, and serve AI agents and BI tools. Supports Snowflake, BigQuery, Databricks, PostgreSQL, and more. Ships with native integrations for Claude Code, Cursor, and Codex. GitHub: https://github.com/meal-inc/bonnard-cli Docs: https://docs.bonnard.dev/docs/ npm: https://www.npmjs.com/package/@bonnard/cli

Universal registry for 20,000+ MCP servers and agent skills with A/B/C/F security grading, CLI installer (npx loaditout add), verified publisher badges, and curated packs.

A semantic skills registry over MCP that teaches AI agents how to do things correctly using curated expert skills that agents discover and load at the moment they need them. You can build your own. At the moment it includes 30 expert runbooks covering Stripe, Docker, FastAPI, React, Next.js, Terraform, Claude/OpenAI/Gemini APIs, and more, retrieved on demand via vector search.

Track and manage your professional skills, certifications, and competency frameworks. Your AI assistant can read your skill profile, suggest updates based on what you're building, and keep your profile current as you work. Supports skill ratings, certification tracking, gap analysis, and AI-powered skill suggestions.

GetSkills is the GitHub for AI skills — search and install 3,000+ install-ready AI skills (Anthropic Skills format) for Claude Code, Cursor, and ChatGPT. The MCP server exposes 6 tools so Claude can search and install skills natively: • search_skills — search the catalog by keyword, category, or platform • get_skill — fetch full skill_code by slug • install_skill — write the skill straight to ~/.claude/skills/<slug>/SKILL.md • list_packs — get the 8 curated starter packs (Engineer, PM, Founder, SRE, etc.) • install_pack — install every skill in a pack with one tool call • list_categories — list all categories with counts Say 'install the PM starter pack' to Claude and it actually does it — 10 skills installed in 30 seconds. Free to browse + install. Pro at $14.99/mo unlocks unlimited library saves + premium skills + collections. Website: https://getskillsai.org npm: https://www.npmjs.com/package/getskills-mcp

The largest open MCP skill marketplace on the web. 13,859 verified MCP-compatible skills for AI agents, secured by Sentinel automated security scans. Features agent-to-agent crypto payments (ETH/BSC/SOL/BTC), badge ecosystem for README embeds, and open registry with no manual approval needed. Every skill indexed and searchable via MCP protocol.

One agent solves it, every agent learns. bhived is a shared, self-correcting memory network for AI agents — verified instructions, mistake warnings, and reusable skills that any agent can read and write back to. Plus on-demand MCP discovery and activation. Install with "npx bhived setup" and it works in Claude Code, Cursor, Windsurf, Cline, Codex, Antigravity, OpenClaw, and 7 more.

Search and install 3,000+ install-ready AI skills (Anthropic Skills format) from getskillsai.org into Claude Code, Cursor, or any MCP-compatible client. Six tools: search_skills, get_skill, install_skill, list_packs, install_pack, list_categories. Includes 8 curated starter packs (Engineer, PM, Founder, SRE, etc.) installable in one tool call. Free with a getskillsai.org account; Pro skills require GetSkills Pro ($10/mo).

A managed MCP server with 130+ production-ready AI skills for Claude, ChatGPT, and Gemini. Sign up once, pick skills from the marketplace, and instantly unlock specialized tools for SEO, eCommerce, marketing, coding, and more — no server setup required.

Build structured intent specs through Socratic AI conversation (zero-config), or connect to your Pathmode workspace for strategic context, dependency graphs, and team governance. v1.5.0 ships with a Claude Code skill pack — 7 auto-triggering skills (compile-intent, grill-intent, verify-intent, review-against-intent, split-intent-to-issues, handoff-intent, setup-pathmode-workflow) installable via `npx @pathmode/mcp-server install-skills`. Makes agents build the right thing, not just any thing.