Results for “pattern”

Automate Piggy operations through Composio's Piggy toolkit via Rube MCP, with dynamic tool discovery and connection management.

Creates Cursor rules in .cursor/rules/ with YAML frontmatter for persistent AI guidance, including scope and file pattern configuration.

Transforms AI-generated text into authentic, human-sounding writing by detecting AI patterns, fixing rhythm, and injecting brand voice.

Provides narrative synthesis, framing, and audience-aware communication patterns to improve decision narratives, written artifacts, and shared understanding.

Builds a personal knowledge base for capturing and retrieving understanding, with structured namespaces for concepts, tools, patterns, and references.

Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns. Use when the user requests refactoring or provides relevant inputs for this workflow.

Interviews users about their email patterns, business context, and priorities to build a structured knowledge base that powers personalized inbox triage.

Drafts professional emails that match your personal writing style by analyzing sent emails for tone, greeting, structure, and sign-off patterns.

Analyzes GitHub Copilot CLI conversation history to extract behavioral patterns and writes a personalization block into the user's Copilot instructions file.

Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns.

Writes a structured JSON receipt after sessions with significant actions, logging file changes, API calls, and other mutations for auditability.

Compiles up to five durable insights from the current conversation for possible addition to CLAUDE.md, focusing on patterns, preferences, and project knowledge.

Tracks Claude Code tool usage and prompts via hooks to analyze patterns and suggest new skills for repetitive tasks.

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

Implement custom AEM Workflow Java components on AEM 6.5 LTS, including WorkflowProcess and ParticipantStepChooser with OSGi registration, metadata handling, and error patterns.

Apply the Doherty Threshold to keep system response times under 400ms, maintaining user flow and perceived performance.

Mines git history and codebase to reconstruct the development lifecycle, identify sequential and parallel patterns, and produce actionable recommendations for future iterations.

Write, edit, or audit content in Alan Hirsch's exact voice using five voice markers, argument patterns, rhetorical posture, and failure mode guards.

Systematic workflow for analyzing a cloned GitHub repository. Use when you've cloned a repo and want to extract its tech stack, architecture, key patterns, and what to adopt into your system.

Spawns a researcher agent to investigate how to implement a project phase, gathering context on architecture patterns, standard libraries, and common pitfalls.

Blocks Claude from finishing a session until deterministic quality checks pass: learning library freshness, disk space, and rationalization pattern detection.

Hunt for adversary persistence via Windows Scheduled Tasks by analyzing task creation events, suspicious task actions, and unusual scheduling patterns.

Builds a persistent profile of the operator's identity, preferences, and rejected patterns across sessions, reading it at session start and updating it at session end.

Use this skill for custom shaders, materials, postprocessing, visual effects, uniforms, GLSL patterns. Trigger when the task involves 3d web work related to Shader Material Design, production implementation, audits, debugging, strategy, or validation.

Analyzes project folder structures, auto-detects technology stacks, and generates detailed blueprints with naming conventions, file placement patterns, and templates for consistent code organization.

Analyze recent screen activity via a local screenpipe daemon, detect repeated research workflows, and draft new skills or composition recipes for uncovered patterns.

Create and maintain GitHub Copilot custom agents in Visual Studio Code with defined roles, tool restrictions, model selection, subagent permissions, and handoffs.

Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations. Use when the user requests churn analysis or provides relevant inputs for this workflow.

Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns.

Learn Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.

Detects and removes AI writing patterns from Chinese text, making it sound more natural and human-like. Based on Wikipedia's comprehensive guide to AI writing characteristics.

Guide for refactoring code to improve quality without changing behavior. Use when refactoring, cleaning up code, reducing duplication, improving readability, or restructuring code. Integrates Firecrawl for researching modern patterns before refactoring, and codebase-aware dependency analysis to avoid breaking changes.

Analyzes recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and sends a personalized growth report to Slack DMs.

Turns any long-running domain (business, relationships, health, career, learning, investing) into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time.

Builds detailed voice profiles for characters, narrators, brands, or AI agents, covering diction, syntax, rhythm, worldview, signature patterns, and failure modes, and can reverse-engineer profiles from writing samples or audit existing ones.

Guide for translating code between programming languages. Use when converting code from one language to another, planning language migrations, understanding conversion challenges, asking about type mappings, idiom translations, or referencing pattern mappings. Covers APTV workflow, type systems, error handling, concurrency, and language-specific gotchas.