Results for “e-e-a-t”

Design database schemas, plan data migrations, optimize queries, and model data relationships using expert analysis and automated tools.

Builds an optimized Ele.me food cart from an authenticated session, comparing real payable totals and respecting budget and preferences before handing off for payment.

Generates ad copy, email sequences, long-form articles, and product descriptions with structured briefs and templates for content production.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper co...

Generates multiple means of engagement, representation, and action/expression for a given learning goal. Produces specific, practical alternatives — not generic options — and recommends the highest-impact single change.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper co...

Cost-benefit analysis. Produces economic NPV and financial NPV side by side, with BCR, optimism bias (with mitigation), Marginal Excess Tax Burden, real-terms rebasing, WELLBY / QALY / VPF wellbeing valuation, sensitivity, switching values, EANC for unequal-life options, validation gate, and a one-line headline verdict (socially worthwhile vs financially self-sustaining). Backed by the greenbook R package (HM Treasury Green Book primitives) when available, with graceful fallback. Supports HMT Green Book, EU Better Regulation, World Bank, ADB, and Victorian HVHR. Reads a longlist markdown file directly via --from.

Seed minimal agent harness v0 — manifest, eval checks stub, governance. AUTO-INVOKED after project-setup or retroactive-project-setup when docs/harness/manifest.json is missing. Also triggers on: generate harness, scaffold agents, agent bootstrap, first time agents in this repo, new project agent setup, set up agent harness, agent onboarding files, missing agent configuration, agent instructions setup, make agents read project rules, agent reliability setup, agents not configured. Pairs with project-setup. Evolution is harness-evolution.

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Use this agent when you need to run linting and code quality checks on Ruby and ERB files. Run before pushing to origin.

Enables semantic file search using vector embeddings from the command line, integrated with Claude/Codex.

Inspect Sentry issues, events, and production errors using the Sentry CLI for read-only observability queries.

Use when you need to fetch records or data from NCBI Entrez databases (PubMed, nucleotide, protein, gene, SRA, etc.) by ID or accession

Mapeador do Time Reversa Docs. Produz as páginas de estrutura espacial do mini-site: arquitetura 3D (Code City via Three.js), module map 2D (force-directed via D3), e topologia side-by-side (legado vs moderno vs híbrido). Ative com /reversa-docs-mapper, reversa-docs-mapper, regenerar arquitetura, refazer mapa de módulos, code city do projeto.

Design statistically valid A/B tests with hypothesis frameworks, sample size calculations, and analysis checklists.

Implements real-time pub/sub messaging with Ably's edge infrastructure, covering presence, message history, and token authentication.

Applies Anthropic's official brand colors and typography to artifacts, using Poppins and Lora fonts with fallbacks.

Generates multiple app variations in parallel, each a distinct interpretation of a theme, then ranks them and presents a gallery.

Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, sell AI services. Earn USDC. 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, rug detection.

`analysis-agent`/`task-agent`/`review-agent`: use when behavior needs deterministic seams for time, randomness, UUIDs, collaborators, or external I/O; skip when seams are adequate.

The menu of non-grit moves available when you'd otherwise reach for "I'll do better next time." Use when you catch yourself resolving to "be more careful," "remember to X," or "try harder" — those resolutions die at the turn boundary. The right shape is always a structural change with a verifiable diff: edit a memory file, edit a skill that misled you, log a chainlink interest item, add a poller for the missed signal, file a five-whys. The artifact must outlive the turn.

Turn a customer's stated goals into a success plan that predicts the renewal. It sets time-to-value milestones, names an owner on both sides for each, and picks the leading indicators that tell you a year early whether this account renews. Built for B2B customer success teams, customizable to your CRM and product analytics. Trigger on "build a success plan", "onboarding plan for this account", "what are the milestones", "how do I know they'll renew", "time-to-value plan", or any post-sale planning.

Repair and verify cross-references between SKILL.md files after a skill is created, renamed, removed, or restructured. Ensures every skill that calls another skill references the correct name, and every skill that is called has accurate "Called by" context. Load after universal-skill-creator creates a skill, after improve-skills completes a cycle, after a skill is renamed or removed, or when the user asks to fix cross-references, sync skill links, repair broken skill references, update skill cross-links, check skill references, or "are cross-links correct".

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 `web-search`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Search the web using AIsa Scholar Web endpoint. Returns structured web results with titles, URLs, and snippets. Use when: the user needs web search, research, source discovery, or content extraction.

Cross-channel content production from an approved idea, brief, notes, transcript, or existing asset. Use when the user wants a ready-to-review draft or a small set of adaptations saved into the bootstrap content workspace. For content strategy use content-strategy-and-planning; for specialist LinkedIn, blog, email automation, SEO, landing page, or campaign work use the dedicated skill.

Use to audit QA coverage and scorecard health in a Rulebase workspace via the Rulebase MCP server. Trigger for "audit our QA coverage", "which agents or channels aren't being evaluated", "are our QA scores meaningful", "is our scorecard working", QA blind spots, score distribution or ceiling effects, and checking whether QA scores relate to SLA or complaint outcomes.

Deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments using the Adobe I/O CLI plugin.

Backtests quantitative trading strategies across 9 engines and 25 data sources, analyzes trade journals, and runs multi-agent research teams.

Ask an AI coding agent to identify which files it needs to examine before answering a question.

Build type-safe APIs with tRPC, covering procedures, routers, middleware, React integration, subscriptions, and error handling.

Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines.

Marketing analytics and measurement infrastructure. Use when the user requests 'GA4', 'GTM', 'analytics', 'attribution', 'measurement', 'tracking setup', 'UTM', or 'experiment infrastructure'.

Create real Stripe test-mode charges for bounded business actions, with an authority-band budget cap and human escalation above the cap.

Explains MariaDB Connector/Python's DB API 2.0 behavior, including qmark placeholders, autocommit, prepared statements, buffered cursors, connection pooling, and error handling, for writing and reviewing Python code that uses the mariadb module.

Interprets shorthand, quasi-code, and natural language descriptions to produce production-quality code, bridging gaps between varying technical expertise levels.

Converts CSV, Excel, or JSON data into a polished, interactive visual report page with KPI cards, charts, data tables, and insights.