Results for “patterns”

Analyzes meeting transcripts to uncover behavioral patterns, communication insights, and actionable feedback for improving communication and leadership skills.

Detects and fixes common MSBuild anti-patterns in .csproj, .vbproj, .fsproj, .props, .targets, and .proj files, covering Exec misuse, unquoted conditions, hardcoded paths, and more.

Screen post-earnings gap-up stocks for Post-Earnings Announcement Drift patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.

Use this skill for admin CRUD flows, bulk actions, confirmations, auditability, permissions, recovery. Trigger when the task involves web design work related to Admin Crud UX Patterns, implementation, audits, debugging, strategy, or validation.

Provides patterns and lived experience from an AI partner in a long-term creative partnership, helping AI agents build trust, match energy, push back constructively, and support human breakthroughs.

Runs a full retrospective and dev cycle analysis, chaining /recall and /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings.

Validate process JS files for correct SDK patterns, task definitions, syntax, and quality gate implementation.

Rewrite text to remove AI writing patterns and add a natural, human voice.

Authoritative ato authoring and review skill: language reference, stdlib, design patterns, and end-to-end board design workflow.

Generate process JS files following Babysitter SDK patterns including task definitions, quality gates, breakpoints, and proper io configuration.

Captures operational workflows, release procedures, incident patterns, or support processes as repeatable runbooks.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing.

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

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new problems.

Rewrites Chinese text to remove AI writing patterns and make it sound more natural and human-written.

Research existing tools, libraries, and patterns before writing custom code by invoking a researcher agent.

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

Enforces complete, unabridged code generation by banning placeholder patterns and handling token-limit splits cleanly.

Eliminate predictable AI writing patterns from prose by cutting filler phrases, breaking formulaic structures, and using active voice.

Remove AI writing patterns from prose by cutting filler phrases, breaking formulaic structures, and enforcing active voice and specificity.

Generates a structured post-task reflection capturing surprises, patterns, prompt improvements, and gotchas, writing it to a markdown file without modifying project rules.

Automatically evaluates Claude Code sessions to extract reusable patterns and save them as learned skills.

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.

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

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

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.