customer-problems
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
336 skills found
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Generate tailored value proposition statements for marketing, sales, and onboarding from existing value propositions.
A stage-driven AI writing agent for structured, repeatable, and reversible long-form content production with human-in-the-loop workflows.
Create and edit Obsidian Flavored Markdown notes with wikilinks, embeds, callouts, frontmatter properties, and specialized syntax.
Compiler-accurate semantic code analysis via LSP. Navigate definitions, references, and implementations, perform workspace-wide renames, and get file outlines for Python, Rust, Go, TypeScript/JS, and Java.
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.
A testing utility designed to simulate prompt injection attacks and validate security scanners for AI agent skills.
Deep inquiry framework using Socratic questioning to examine beliefs, uncover hidden assumptions, test evidence, and reach nuanced understanding without lecturing.
Intelligent tool selector for code search. Routes queries between semantic (claudemem) and native tools (Grep/Glob) to optimize efficiency, token usage, and search accuracy.