agent-spec-builder
Build a Prompt Hardener agent_spec.yaml from an existing codebase (from-code) or through an interactive interview (from-questions). Use when the user wants to create, generate, or scaffold an agent spec, or when they mention agent_spec.yaml creation. Generates agent_spec.yaml, evidence.md, and open_questions.md with confidence tracking and evidence trails.
Craft Gtm Mcp
8 strategic GTM tools: PMF, Launch, Interviews, Retention, Partners, Crisis, Competitive Intel
isomux-grill-me
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
experience-cleaning-skill
Clean OCR and manually entered interview experiences before storage so the RAG corpus has less noise, fewer duplicates, and more consistent company, department, and question fields.
Sensecritiq
UX research synthesis. Upload interviews and get themes, findings, and verbatim quotes in minutes.
algo-sensei
Your personal DSA & LeetCode mentor. Use for problem explanations, progressive hints, code reviews, mock interviews, pattern recognition, complexity analysis, and custom problem generation. Automatically adapts to your learning style and request type.
deep-plan
Creates detailed, sectionized, TDD-oriented implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
Spec Mint Core
Turn ephemeral plans into structured, persistent specs built through deep research and iterative interviews. Specs have phases, tasks, acceptance criteria, a registry, resume context, a decision log, and a deviations log. They live in `.specs/` at the project root and work with any AI coding tool th
create-a-plan
Conduct a focused technical planning interview to produce an implementable, parallelizable plan or spec with clear dependencies, risks, and open questions.
brownfield
Scan and manage brownfield repository defaults for interviews
Interview Mode
Structured interviewer for Claude Code — probing questions, decision tracking, evolving checkpoints.
Spec Smith
Turn ephemeral plans into structured, persistent specs built through deep research and iterative interviews. Specs have phases, tasks, acceptance criteria, a registry, resume context, a decision log, and a deviations log. They live in `.specs/` at the project root and work with any AI coding tool th
Cookiy
AI user research via study creation, interviews, recruitment, and reports.
Agent Interviews MCP Server from MCPBundles
Agent Interviews is an AI-powered research platform designed to conduct qualitative interviews an...
Io.Github.Idoco2003/Vincikit
AI stack configurator with conversational interviews and intelligent recommendations
job-search-strategist
Comprehensive job search strategy skill for analyzing job postings, discovering non-obvious insights, conducting conversational skills-matching interviews, identifying skill development needs and creating creative, personalized application strategies. This skill should be used when users want help with job applications, career transitions, analyzing job opportunities or developing targeted job search approaches that help them stand out from other candidates.
yc-advisor
This skill should be used when the user asks questions about startups, founding decisions, co-founders, fundraising, product development, growth, hiring, or any entrepreneurial advice. It provides access to Y Combinator's complete library of 443 curated resources including essays by Paul Graham, founder interviews, and startup school lectures. Use this skill to give thorough, research-backed advice on startup decisions.
Mirror â Portrait, Audit & Interview Skill
Surface what the AI knows about the user â as a person, not as a dataset.