Results for “e-e-a-t”

Analyzes CAN bus communications with message decoding, signal mapping, and diagnostic trouble codes

Agent SDK with checkpoint manager, session forking for parallel execution, and real-time query control

Extract text and tables from PDFs, create new documents, merge and split files, and handle forms using Python libraries and command-line tools.

Configures a repository's issue tracker, triage labels, and domain documentation so engineering skills can operate correctly.

Configures Istio service mesh on Kubernetes for traffic management, mTLS security, and observability, including canary routing, authorization policies, and telemetry.

Verify TPM measured boot integrity and remote attestation using tpm2-tools, including PCR reading, event log replay, quote generation and verification, and golden baseline comparison.

Use when the user mentions a daily note, asks to add a task to today's daily todos, or reads or writes any file under ~/Notes/Daily Notes/. Covers location, section structure, and what each section is used for.

Publishes a local Markdown file to a user-specified Confluence location, creating a new page or updating an existing one through the Atlassian MCP server. Use when the user wants to post, publish, push, or sync a Markdown file to a Confluence space or page. Requires a configured Atlassian MCP server. Does not write or generate the Markdown itself — point it at an existing file, or use project-documentation-to-confluence for the document-then-publish flow, or plan-a-feature-to-confluence for the plan-then-publish flow. Does not publish to Jira — use work-items-to-jira.

Use when voice AI API design, integration architecture, API management, or voice service APIs is needed. This agent specializes in voice AI API architecture within the VoiceForge AI ecosystem.

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `stock-rumors`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Rumor Scanner — find early signals including M&A rumors, insider activity, analyst upgrades/downgrades, social whispers, and SEC/regulatory activity via AIsa API. Ranked by impact score. Use when the user asks about rumors, insider trading, M&A activity, analyst changes, or early market signals.

Handle UTF-8 and text encoding safely in WordPress plugins, especially on WP 6.9+ where wp_is_valid_utf8(), wp_scrub_utf8(), and noncharacter helpers replace older seems_utf8-style checks. Covers when to validate, scrub, reject, or preserve invalid bytes; wp_check_invalid_utf8 behavior; XML/JSON/feed/export.

Canonical patterns for writing custom MSBuild targets, covering the three-level target chain, chain extension, DependsOnTargets vs BeforeTargets vs AfterTargets, Returns vs Outputs, and common pitfalls.

Profile a cold, cache-empty page load and build a text waterfall — the longest-pole requests, time to first byte, and time to interactive. Flags the critical-path bottlenecks. Playwright MCP only, no signup.

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.

Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".

Provides practical guidance for training Mixture-of-Experts Vision-Language Models in Megatron Bridge, comparing FSDP and 3D-parallel approaches with lessons from recent multimodal experiments.

Provides a discovery stub for the Wren CLI, a semantic SQL layer over 22+ databases, with commands to install, set up, connect data sources, generate MDL projects, enrich context, and deploy GenBI dashboards.

Generate roadmap generator operations. Auto-activating skill for Enterprise Workflows. Triggers on: roadmap generator, roadmap generator Part of the Enterprise Workflows skill category. Use when working with roadmap generator functionality. Trigger with phrases like "roadmap generator", "roadmap generator", "roadmap".

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

Designs and governs recursive self-improvement loops where an agent mines its own failures and proposes edits to its own harness, prompts, or workflow, covering acceptance gates, diversity preservation, and the optimization ladder.

Finds all places in an area using grid-based Google Places scanning, not just the ones Google surfaces. Supports location or coordinate search, filtering by rating and reviews, and exporting results to JSON, CSV, or an interactive map.

Generic webapp QA fallback — use only when no project-specific QA skill applies (project-local QA wins; native builds → mobile-emulator-test). Use when "QA the app", "test CRUD", or "smoke test". Monkey / guest vs logged-in → test-exploratory. Dead buttons → plan-stub-checker. Pixel diffs → test-visual-regression.

Provides expert guidance on Haskell development with advanced type systems, pure functional architecture, and high-assurance design patterns.

Connects an AI agent to Slack conversations and workspace workflows through an MCP server, with setup guidance for various environments.

Audits UX quality of a codebase or validates implementation against design mockups, then fixes issues and commits changes.

Guides a structured interview and codebase exploration to produce a PRD, then submits it as a GitHub issue.

Use this skill after completing code changes to review for reuse, quality, and efficiency. Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

Establishes baseline cross-project coding conventions for naming, readability, immutability, and code-quality review, with pointers to framework-specific skills.

Interact with the QFC blockchain: manage wallets, query chains, stake, deploy contracts, handle ERC-20/NFT tokens, swap on DEX, and run AI inference.

Rewrites free-form draft prompts into the conventions Claude Opus 4.6 or 4.8 responds best to, either inline or by overwriting a draft file.

Foundational Kotlin patterns covering null safety, coroutines, data classes, extension functions, and Kotlin idioms. Use when writing Kotlin code or needing guidance on Kotlin development. This is the entry point for Kotlin development.

Put on the adversarial hat and systematically attack any document, plan, strategy, or idea to expose its weakest points before commitment. Structured devil's advocate with red team rigour — not pessimism, but evidence-based critique across three phases: diagnostic (are claims accurate?), creative (is the problem artificially constrained?), challenge (are solutions robust?). Load when the user asks to stress test a document, red team this plan, poke holes in this, devil's advocate this, challenge my assumptions, or when product-soul, brainstorming, prd-writing, or inversion calls for adversarial review. Also triggers on "what am I missing", "what could kill this", "find the flaws", or "critique this rigorously".

Searches X (Twitter) for tweets matching an advanced query and returns structured data including text, author profile, engagement metrics, media, hashtags, mentions, and pagination cursors.

Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis, analyzing RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation to identify regime shifts.

Recognize when you're in a runaway loop and stop yourself. Use when the same tool call has repeated 3× with the same args, when the same error class has fired 3× in a turn, when you've been told the same correction twice, when "let me try one more variation" is the third small variation, or when a refinement loop is orbiting rather than converging. The right move on a trip is to switch from action to inquiry — read events.jsonl, list assumptions, look for contradictions, ask the human, file a chainlink — not to retry harder.