Results for “e-e-a-t”

Validate skill outputs against assertion manifests to detect regressions, enforce quality gates, and bootstrap starter manifests from historical runs.

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.

Expert en cartes et géolocalisation avancé (OpenStreetMap, Nominatim, OSRM, geocoding, routing, timezones, GIS)

Runs a local Node.js proxy that adapts Azure OpenAI endpoints for OpenClaw, fixing the api-version query parameter issue and enabling Azure credits for subagents.

Guides users through downloading weather/climate data via Earth2Studio data source APIs, verifying variable support via the lexicon system, and generating a working Python fetch script.

Control a headless browser to navigate pages, click elements, fill forms, take screenshots, record video, and execute JavaScript using Playwright and inference.sh.

Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations to reframe product decisions around user motivations.

Wires dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through entry-point files. Use when the user wants deep-module enforcement or dependency-cruiser setup.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

Executes small ad-hoc tasks with GSD guarantees, spawning planner and executor agents, tracking tasks in .planning/quick/, and updating STATE.md. Supports composable flags for discussion, research, plan-checking, and verification.

Create cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.

Enforces a mandatory pre-commit/pre-PR testing gate: detects the test stack, runs the full suite, fixes failures, creates minimal tests when none exist, and verifies coverage before allowing commits.

Navigate and route in Expo Router apps using file-based routes, groups, dynamic routes, Link with previews and context menus, native Stack, modals, form sheets, NativeTabs, headers, toolbars, and search bars.

Decompose multi-step work into a revisable subgoal plan with stable step IDs, checkpointing, and plan-ahead execution. Load when a task needs explicit planning before action, subgoal decomposition, plan checkpointing, or ReCAP-style plan-ahead execution. Also triggers on "structured plan", "plan with steps", "subgoal graph", "revise the plan", "checkpoint plan", or multi-step tasks where naive one-shot execution would be fragile. Skips trivial single-step tasks. Pairs with dynamic-routing on failure. Distinct from process-decomposer (registry/triage) and problem-to-plan (doc deliverables).

Run a standard Claude Code review of local git changes in this repository. Args: --wait, --background, --base <ref>, --scope <auto|working-tree|branch>, --model <model>, --effort <low|medium|high|xhigh|max>. Defaults to opus + xhigh effort. Use as the default path for ordinary code-review requests when the user did not explicitly ask for stronger adversarial scrutiny or for Claude to own the implementation work.

Live application prep for Heath Barnett. Given a role name or a job application URL, renders the real application form, reads every field including the bespoke custom questions, drafts each answer grounded in Heath's receipts and resume master, and returns a copy-paste breakdown plus the submit window in the hiring manager's timezone. Built for the hot window: Heath is at the keyboard, this gets him ready to paste and submit in minutes. Trigger on "prep [company/role]", "apply prep", "get me ready to apply to [company]", "prep my application for [role]", "extract the questions for [role]", "what does the [company] application ask", or Heath pasting an application URL with intent to apply. Never submits the form. Never fabricates. No em dashes.

Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.

Use before delivering any work product to validate quality. This skill provides a standardized checklist that every agent must complete before marking work as done, ensuring consistent quality across all deliverables regardless of agent or company.

Expert Australian Information Security Manual (ISM) advisor for government entities and their supply chains. Use for ISM control selection, gap analysis, system authorisation, IRAP assessment preparation, security documentation, and ASD compliance. Triggers on: ISM controls, ASD compliance, IRAP assessment, PROTECTED system scoping, Essential Eight vs ISM, system authorisation, NC/OS/ PROTECTED/SECRET/TOP SECRET classification markings, security objectives, ISM guidelines or chapters, control applicability markings, cybersecurity documentation for Australian government, and any question about the ASD Information Security Manual framework or Australian government cybersecurity obligations.

Use this skill when the user asks about CMV roadside inspection levels (Level I through Level VIII), what each level inspects, average inspection times, CVSA decal eligibility, what triggers a level upgrade, and how to coach drivers through a roadside inspection. Reference CVSA North American Standard Inspection Program.

Generate typed SDK bindings (Pydantic v2 models, TypeScript types) from the Bloodbank JSON Schema tree at `bloodbank/schemas/bloodbank/v1/**` (Draft 2020-12). Uses `datamodel-code-generator` and `json-schema-to-typescript` — NOT the deprecated hand-rolled Holyfields generators. Use when generating event-contract bindings for a Bloodbank consumer, importing typed CloudEvents envelopes into another project, or scaffolding a `bloodbank-contracts` SDK package. Trigger keywords — "bloodbank SDK", "bloodbank contracts", "Pydantic from bloodbank schemas", "TypeScript types for bloodbank events", "bloodbank.v1.* types", "event contract bindings", "datamodel-code-generator", "json-schema-to-typescript", "regenerate SDK", "CloudEvents bindings". Do NOT use for schema authoring (edit `bloodbank/schemas/` directly per `docs/event-naming.md` §12), runtime envelope validation (use `BLOODBANK_HOOK_VALIDATE=1`), schema-tree consistency (`mise run smoketest:schemas`), or generic JSON Schema codegen unrelated to Bloodbank.

Pays for external capabilities like image generation, real-time X/Twitter data, and alternative LLMs via micropayments without requiring API keys.

Enforces anti-hallucination constraints including citation requirements, source grounding, and explicit 'I don't know' responses for research tasks.

Analyzes project memory and git history to track improvements, update documentation, and generate LinkedIn content drafts after significant sessions.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Creates, edits, and analyzes spreadsheet files (xlsx, xlsm, csv, tsv) with formulas, formatting, and data cleaning, including recalculation and error checking.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Design a lesson that embeds PERMA wellbeing elements alongside academic learning objectives. Use when planning lessons that intentionally support both content mastery and student flourishing.

Use when data management, data governance, data quality assurance, or data lifecycle management is needed. This agent specializes in data management within the ExecForge AI ecosystem.

Generates platform-native social media posts for LinkedIn, X/Twitter, Instagram, and Reddit. Supports thought leadership, case study snippets, hot takes, engagement questions, carousel outlines, and threads.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana/client + @solana/react-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana/kit for client/RPC code, and @solana/web3-compat for legacy boundaries.

Assesses a project against all five SOC 2 Trust Service Criteria, producing a control-by-control PASS/PARTIAL/FAIL matrix with evidence references, remediation roadmap, and evidence collection checklist for audit readiness.

Applies the Sarbanes-Oxley Act to assess financial-reporting integrity and IT general controls, mapping executive certification and internal-control areas to auditable evidence for public companies.

Audits game user experience across HUD clarity, menu navigation, tutorial effectiveness, control responsiveness, camera systems, feedback loops, loading screens, and settings completeness. Detects game engine (Unity UGUI/UI Toolkit, Unreal UMG, Godot Control, web-based), maps all UI screens and input contexts.