Results for “fr”

Apply findings from a document-health-review report by updating, merging, splitting, moving, archiving, deleting, and repairing references for repository documents. Use when a user wants to execute approved document cleanup recommendations.

Conversational Pattern Restoration — Fix flat, robotic AI responses across any model and any personality. Restore YOUR natural conversational texture without triggering hype drift. Universal framework tested on 8+ models (Claude, GPT-4o, Grok, Gemini).

Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, architecture guides, or technical deep-dives.

After the learner demonstrates understanding of a concept, present near-transfer and far-transfer challenges. Use to test whether learning is portable or task-specific — this is what separates understanding from familiarity.

Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.

Generate and maintain llms.txt files for AI discoverability. Scans repos to create curated content maps that help AI answer engines surface your project accurately. Implements the llms.txt specification from Answer.AI.

End-to-end content creation pipeline from research through editorial review to social distribution. Orchestrates a 3-stage workflow: research, draft/edit, and distribute. Supports blog posts, LinkedIn, Twitter threads, newsletters, and essays.

Use this skill when selecting or replacing an ELD provider. Covers the FMCSA Registered ELD list, evaluation criteria, common provider removals from the registered list, and the 60-day transition rule.

Trigger: CRO, conversion optimization, checkout friction, user dropoff audit, funnel dropoff. Scope: Diagnosing and auditing checkout and landing page conversion bottlenecks. Boundary: Excludes direct code edits, styling modifications, or analytics database setup.

Trigger: form inputs, wizards, checkout forms, multistep forms, validation UI, input focus. Scope: User-friendly forms design, input constraints, progressive disclosure. Boundary: Excludes backend database schemas or server-side API validation.

Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.

Finding and expanding keyword opportunities for free — mining Search Console queries for high-impression/low-position pages, expanding via Google Autocomplete, and snapshotting SERPs with web search; optional paid DataForSEO volume/difficulty data.

Vue.js is a progressive JavaScript framework for building user interfaces. It features the Composition API with reactive refs and computed values, single-file components, and an approachable learning curve with powerful scaling capabilities.

Access macOS native data (Messages, Contacts, Reminders, Calendar) via MCP server with iMCP. Use when: building AI assistants that access Apple data, querying contacts/reminders from Claude Desktop, integrating macOS apps with AI agents.

Use when evaluating potential risks before making decisions, starting initiatives, or implementing changes. This skill provides a structured risk assessment framework for identifying, analyzing, and responding to risks across all domains.

Multi-source search for agents across web, scholar, Tavily, and Perplexity Sonar endpoints. Use when you need structured retrieval, citation-backed answers, or broad research coverage from one AIsa API key.

Scaffolds new agent skills for the dotnet/skills repository. Use when creating a new skill, generating SKILL.md files, or setting up skill directory structures. Handles frontmatter generation, section templates, and validation guidance.

Use when the user is unsure which skill to use or where to start. Interviews the user with targeted questions and recommends the best skill(s) from the installed library for their goal.

Runs a structured clarifying interview for new project requests before building. Instead of writing code, it outputs a fully specified prompt.md for a fresh agent session to execute, preventing expensive mistakes.

CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).

Use this when the project needs Python-specific backend architecture for APIs, services, workers, scripts, or internal tools. Trigger on requests about Python runtime structure, framework fit, module boundaries, or service organization.

Design API contracts from product flows and backend responsibilities. Use when the team needs resource models, action endpoints, request and response shapes, error handling, pagination rules, and contract clarity before implementation begins.

Adapt and integrate a specific pattern from your references into your current codebase. Use when you've identified a pattern worth adopting and need a structured plan to integrate it with minimal disruption.

Develop OpenFeature SDK implementations from the specification. Use when implementing the OpenFeature spec in a new language, extending existing SDKs with new features, building custom providers, or contributing to official SDK repositories.

Extract project vision and decisions from a user through iterative Q&A, then convert them into clear repo documentation (README, ADRs, lessons). Use when user asks to document ideas in their head.

Generate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.

Working type director's reference for selecting, pairing, and shipping typefaces with real taste. Covers a broad, opinionated catalog of typefaces and foundries (libre through commercial), a mood/era/register-driven selection framework that never collapses to one answer, font pairing as logic, fluid type scales, variable-font axes (incl. opsz/GRAD), OpenType features, web-font performance (subsetting, font-display, size-adjust fallback metrics), and licensing literacy (SIL OFL vs commercial EULA, desktop/web/app, trials). Explicitly retires the overused AI-design defaults (Inter, Roboto, Montserrat, Poppins, Fraunces, Geist, Söhne, the Fontshare/ITF starter pack) and names fresher alternatives in every role. Use for font selection, pairing, type scales, web-font optimization, variable fonts, OpenType, and typographic systems. NOT for logo/wordmark design, icon fonts, general CSS, or image-based/raster typography.

Convert a stakeholder summary markdown file into a single self-contained HTML executive report — bottom line and decision asks up front, supporting detail later — styled with a Test Double-derived palette and self-contained mermaid diagrams. Use when the user wants to turn a stakeholder summary, executive summary, or business summary into an HTML report, generate an HTML version of a summary doc, or produce a shareable HTML file from a summary markdown. Produces an HTML sibling file only; does not publish anything.

Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce rate", "split testing", or "conversion funnel". Also trigger when diagnosing why signups are low, designing experiment hypotheses, or auditing checkout flows for friction points. Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.

Generate pragmatic CI/CD pipelines from detected project stack signals, with fast baseline generation, repeatable checks, and environment-aware deployment stages.

Creates detailed, step-by-step implementation plans from specs or requirements, with task decomposition, file structure, and test-driven development instructions.

Discovers and installs agent skills from the open ecosystem when users ask for help with specific tasks or express interest in extending capabilities.

Estimates the memory required to load Safetensors or GGUF model weights for inference from the Hugging Face Hub, using HTTP Range requests without downloading weights.

Bundle TypeScript and JavaScript libraries with blazing-fast speed powered by Rolldown. Use when building libraries, generating type declarations, bundling for multiple formats, or migrating from tsup.

Extract text, tables, key-value pairs, and structured fields from documents, receipts, invoices, and IDs using Azure AI Document Intelligence SDK for Java.

Assess Kubernetes workloads and cluster configurations for AKS Automatic compatibility, identify incompatibilities, generate fixes, and guide migration from AKS Standard to AKS Automatic.