Skill UI

This tool suggests manual context compaction at logical breakpoints in your workflow, rather than relying on arbitrary automatic triggers. It helps preserve critical context by allowing the user to explicitly clear or summarize information after major tasks, planning stages, or milestones, ensuring continuity across complex, multi-step operations.

This skill transforms flawed writing — whether pasted text or uploaded documents — into publication-ready prose. It eliminates grammatical, spelling, punctuation, clarity, and tone issues while strictly preserving the author’s original intent and unique voice. Use it for professional document refinement, academic paper polishing, or general text review, ensuring the corrected version maintains your authentic style.

Analyzes your sent messages via WorkIQ to mirror your tone, structure, and sign-offs, then drafts or revises professional emails for follow-ups, proposals, replies, and other contexts so you can review and send polished copies.

Breaks complex software, writing, or research work into small atomic tasks, supplying dependency graphs, milestone breakdowns, and templates so you can plan projects, split features, and organize large workstreams step by step.

This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.

This advanced engine creates deeply personalized, relationship-aware daily gifts using a sophisticated five-stage creative pipeline. It first performs an 'Editorial Judgment' to determine if a gift is warranted, and then generates the content concept. Output can be rendered as interactive H5 web pages, AI-generated images, or videos, ensuring that every artifact is highly unique, contextually relevant, and avoids repetition. Ideal for automated journaling, marking milestones, or maintaining thoughtful daily engagement.

unslop is a powerful command-line interface (CLI) tool designed for post-processing text. It programmatically strips out common and identifiable patterns associated with AI-generated writing. Use it as a final, deterministic pass before publishing documentation, blog posts, or any content derived from large language models (LLMs), ensuring a more natural and human-like tone.

Generates a comprehensive, single-page HTML onboarding plan for new hires. This tool structures the entire new employee journey, including the first-week schedule, 30/60/90-day milestones, resource checklists, and key outcomes. Ideal for HR professionals needing standardized, visually appealing onboarding documentation.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

Generate professional, ATS-optimized CVs and resumes by consolidating data from multiple sources (LinkedIn, GitHub, Portfolio). This skill tailors your content to specific Job Descriptions (JD), adapts tone based on seniority, and outputs paste-ready plain text optimized for tools like FlowCV or Canva. It also provides a detailed ATS flaw report and actionable improvement suggestions.

Specialized skill to rewrite and humanize AI-generated natural language files (like notes or documentation). It removes common 'AI-isms' such as sycophantic openings, stock vocabulary, over-explaining, and excessive signposting. Users can choose between a fast, deterministic regex cleanup or a deep LLM rewrite (default mode) using Claude to enhance burstiness and match a natural human voice, all while strictly preserving code blocks, URLs, and headings.

Suggests when to manually run /compact at logical workflow boundaries instead of relying on automatic compaction, helping preserve context after research, milestones, or task shifts.