parcadei

Choose approaches to Hilbert space problems in functional analysis using orthogonal decomposition, projection, and representation theorems. The skill provides a decision tree and command examples for inner product calculations and proof tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an approach to Hilbert space exercises
• Studying orthogonal decomposition and projection
• Working through the Riesz representation theorem

Display a session dashboard showing Claude token usage, API costs, estimated savings from TLDR file summaries, cache reuse, and hook activity. Use it to compare compression results and check whether TLDR and automated hooks are running.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking session token usage and API costs
• Comparing file sizes and estimated costs with and without TLDR
• Checking whether TLDR and hooks are running

Give new users a practical introduction to what the agent can help with, including coding, memory, research, and planning. Explain natural ways to ask for work, recall earlier lessons, and prepare handoffs for later sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore what the agent can help with
• Learn how to make a first request
• Learn how to recall lessons from earlier work

Work through continuity problems in real analysis by checking function values and limits. The skill outlines separate checks for piecewise functions and provides commands for limit calculations with SymPy and proof checks with Z3.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a function is continuous at a point
• Comparing left and right limits of piecewise functions
• Comparing a computed limit with the function value

Build understanding of mathematical ideas before calculating. The skill guides you through concrete examples, diagrams, simpler cases, and analogies, then summarizes the intuition and suggests a next step with a check.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding the meaning behind a formula
• Exploring geometric interpretations
• Starting an abstract problem with small examples

Work through predicate logic problems by examining quantifiers, which express “all” or “some,” organizing formulas, and choosing proof steps. The skill also guides resolution proofs and countermodels that show why an argument is invalid.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking quantifier scope and variable binding
• Converting formulas to prenex normal form
• Planning a resolution proof

Work through operator theory problems in functional analysis with structured steps for boundedness, adjoints, spectra, and compactness. Includes example commands for symbolic calculations and proof checks using SymPy and Z3.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether an operator is bounded
• Work out an adjoint operator
• Study the spectrum of a self-adjoint operator

Use Shapely to create points, lines, and polygons from coordinates or text descriptions of shapes. Calculate areas and distances, test spatial relationships, combine or transform shapes, and check or repair invalid geometry, with results returned as JSON.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether a point lies inside a polygon
• Calculate shape areas, perimeters, and distances
• Combine shapes or extract overlapping regions

Choose a code search tool based on whether you need symbols, structural patterns, conceptual answers, or exact text. The rules guide agents toward relevant files before reading full contents, helping limit unnecessary search output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding implementations by function or class name
• Locating functions or imports by code structure
• Exploring authentication or error handling concepts

Guides code searches by choosing tools for meaning, syntax structure, or literal text. Uses LEANN for conceptual questions, AST-grep for code patterns, Morph for text searches, and built-in Grep for simple queries or when Morph credentials are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find code that implements authentication or caching
• Locate function calls and component usage patterns
• Search source files for text or TODO comments

Helps create specialized Claude Code agents for tasks such as code review and debugging. Covers custom instructions, tool access, model selection, configuration files, and ways to connect agents across tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a dedicated code review agent
• Configuring a debugging agent
• Choosing tools and models for each role

Explore code with RepoPrompt CLI using directory trees, function signatures, targeted searches, and selected line ranges. Assemble relevant context for AI tasks, automatically select related files, and save repeatable command workflows while limiting how much code is read.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring code structure through function signatures
• Reading only relevant matches and line ranges
• Automatically selecting files related to a task

Researches library documentation, implementation practices, and specific web pages using Nia, Perplexity, and Firecrawl through MCP tools. Produces a handoff document with findings, available code examples, recommendations, pitfalls, and source links for another agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research library APIs before planning a feature
• Compare recommended implementation practices
• Collect content from a specific documentation page

Audit sensitive code and dependencies for security weaknesses, then verify fixes with tests and repeat checks. Reports identify severity, file locations, and remediation steps for issues involving authentication, data protection, injection attacks, and configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing authentication and access controls
• Auditing payment processing code
• Checking dependencies for known vulnerabilities

Choose code search tools based on the question: AST-grep for code structure, LEANN for meaning, and Grep for exact names. Read complete files after locating relevant matches to limit unnecessary output and token use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find function and class definitions
• Locate code that explains how authentication works
• Search for exact variable names and regular expressions

Check code quality with qlty CLI, a command-line tool for multiple languages. Review changed or selected files, automatically fix supported issues, format code, and measure complexity and duplication to identify areas that need attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking changed code before a commit
• Automatically fixing formatting and style issues
• Reviewing code complexity and duplication

Research library usage, recommended approaches, and general topics using external documentation and web sources. Choose a brief or thorough investigation, then organize examples, pitfalls, comparisons, and source links into a research document or implementation handoff.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching library APIs and usage examples
• Comparing tools and implementation approaches
• Compiling a topic report with source links

Coordinate code migrations and rewrites through delegated agents. Define expected behavior, write tests before implementation, review failure risks, and build in stages in a separate directory, then validate the result against the original system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrate code to another language or framework
• Rewrite a system with tests written first
• Refactor extensively while preserving expected behavior

Integrate QLTY code checks into development after new files, substantial edits, and before commits. It provides commands for checking selected files, applying automatic fixes, and formatting code, with guidance on when to run them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check code after creating a new file
• Inspect changed files before committing
• Apply automatic fixes and format code

Search previous work records to recover useful decisions, successful approaches, and failed attempts. Find context in handoffs, plans, and build or test histories, then use those findings when tackling similar tasks or recurring errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall how a similar task was handled
• Recover the reasons behind past decisions
• Find fixes for previously encountered errors

Organize agent skills around domain routers that map requests to specific commands. It guides router selection, automatic activation alongside related skills, and the separation between broad activation rules and precise command matching.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing command selection across multiple tools
• Activating domain skills together with their router
• Reviewing activation rules and routing patterns

Audit Claude Code skills, agents, hooks, and a database-backed memory system. It reports configuration problems and broken references by severity, and offers an optional fix mode for permissions, hook builds, and missing cache directories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing a Claude Code environment
• Finding missing configuration and broken references
• Checking the memory database connection

Refactor existing code through analysis, planning, implementation, review, and testing. Use small, verifiable changes to extract modules, reorganize code, or improve architecture while preserving existing behavior and checking for regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting shared logic into a separate module
• Reorganizing code while preserving behavior
• Improving architecture in stages

Review code changes from several perspectives using parallel specialist agents. It combines findings on code quality, design alignment, and change risks into a final verdict, prioritized actions, and a distinction between blocking and non-blocking issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request before merging
• Checking implementation against a design plan
• Assessing compatibility and regression risks