Results for “patterns”

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 growth logs that extract reusable patterns from complex tasks, failures, and learning moments, using a structured template and quality checklist.

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.

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.

Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.

Continuously improves Claude's effectiveness by recognizing patterns, saving memory, creating skills, and refining project knowledge. Use when Claude notices repeated workflows, encounters a problem it solved before, wants to save something for future sessions, needs to create a reusable skill, or when the user asks.

For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run".

Best practices and patterns for C# async/await programming including Task and ValueTask usage, CancellationToken propagation, IAsyncDisposable and await using, ConfigureAwait, async streams (IAsyncEnumerable), parallel task execution, and common pitfalls like deadlocks and async void. Use this skill whenever writing, reviewing, or refactoring asynchronous C# code — including when the user mentions async methods, Task-returning APIs, cancellation, deadlocks, blocking on async code, or resource disposal in async contexts, even if they do not explicitly say "async best practices."

Score any piece of writing for AI-generation tells and produce a weighted 0-100 scorecard with flagged evidence and ranked fixes. Use this skill whenever the user asks "does this sound AI-written", "run this through the AI detector", "score this writing", "check this for AI tells", "would this pass as human", "humanize check", or wants any article, blog post, email, or copy audited for AI patterns before publishing. Also use it when the user pastes or points to text and asks how it reads, whether it's too "ChatGPT-ish", or wants a QA pass on generated content. Works on pasted text, files, and URLs.