Top Agent Skills

Build ultra-fast web APIs and full-stack apps with Hono — runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Documentation and capabilities reference for Daily

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.

Vector-powered CLI for semantic file search with a Claude/Codex skill

Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.

AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Clinically informed wisdom companion blending psychology and philosophy into a structured thinking partner

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.

Compact the current conversation into a handoff document for another agent to pick up.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Generate UX microcopy (button labels, error messages, empty states, toasts) following a casual-but-polite voice and tone

Compiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.

Guides Claude in writing idiomatic, efficient, well-structured Rust code using proper data modeling, traits, impl organization, macros, and build-speed best practices. TRIGGER when working on .rs files or Rust projects (Cargo.toml present).

Use when implementing or reviewing substantial TypeScript, designing public APIs, modeling domain state, validating runtime data, or refactoring project-scale TypeScript code.

Align TypeScript module resolution, package exports, and declaration emit so that consumers can import the published artifact under every supported runtime and bundler.

Use to quantify the revenue exposed by unresolved support failures, complaints and escalations without inflating the number. Trigger for "how much revenue is at risk", "what are these support failures costing us", "revenue behind our open escalations", building a business case for fixing a support problem, or a revenue-at-risk figure that looks too large to believe.

Use to set concurrency and work-in-progress limits for support teams — chat concurrency, personal WIP on async work, and limits as quality protection rather than arbitrary caps. Trigger for "how many chats per agent", "concurrency settings", "WIP limits", "agents juggling too many tickets", async backlog per person, or quality dropping as concurrent load rises.

Use to prove that a support process, policy or script change actually took effect — when, for whom, and whether behaviour followed — rather than that it was approved. Trigger for "prove we made that change", "when did this policy actually change", "did the team adopt the new process", evidencing remediation, "we told everyone" claims, or a change that was signed off and never landed.

Use to set up or fix quality assurance for voice/phone support, including transcript-based and AI-graded call QA. Trigger for "QA our calls", "score phone conversations", call transcription accuracy for QA, diarisation or speaker attribution problems, word error rate, grading calls from transcripts, or adapting a chat/email QA scorecard to voice.

Use to review how an outsourcer, BPO or vendor handles your customer data and meets your conduct obligations, using evidence from the work rather than from their questionnaire answers. Trigger for "review our BPO's data handling", "vendor risk assessment for our outsourcer", "are our partners compliant", third-party oversight, outsourcing due diligence, or a supplier audit of a support vendor.

Use to decide how to split a growing support organisation — by product, segment, channel, or complexity — and when pods beat shared queues, accounting for coordination cost. Trigger for "team topology", "how should we split the team", "organise support by product or queue", "when to create pods", "support team structure", growing headcount, or coordination overhead between sites.

Use to define what actually predicts support performance in your organisation and build a hiring profile around validated predictors — structured work samples, not vibes. Trigger for "hiring profile", "what should we look for in support hires", "interview scorecard for agents", "reduce bad hires", "work sample test", screening criteria review, or checking whether your interview process predicts ramp and QA.

Use to scan support conversations for a harm nobody has categorised yet — a new failure mode, a scam pattern, or a product change hurting a group of customers before it shows in any metric. Trigger for "is anything new going wrong", "scan for emerging issues", "early warning from support", horizon scanning, a new scam pattern, or preparing for a question about what you might be missing.

Use to audit arrears, collections and financial-difficulty conversations for fair treatment — forbearance offered, pressure absent, vulnerability recognised. Trigger for "audit our collections calls", "are we treating customers in arrears fairly", "did we offer forbearance", financial difficulty handling, payment plan conversations, or a complaint about collections conduct.

Use to decide which support channels to offer, add, or retire, and to audit channel mix against accessibility obligations and cost to serve. Trigger for "should we add chat", "which channels should we offer", channel strategy, cost to serve by channel, accessibility requirements for support, opening a new contact route, or retiring phone or email.

Use to define handoff standards for support transfers and to measure whether context survives the handoff — cold vs warm, required fields, and re-ask rate after transfer. Trigger for "transfer protocol", "warm handoff", "customers repeat themselves after transfer", "ping-pong between teams", "what should agents include when transferring", handoff quality, or re-ask rate after escalation.

Use to forecast support contact volume and calculate staffing requirements for voice, chat, or async channels. Trigger for "how many agents do we need", "forecast our ticket volume", "Erlang C", workforce management or WFM planning, service level and occupancy targets, shrinkage, headcount planning for support, or when a staffing model keeps missing its service level.

Use to assemble a fair, evidence-backed coaching pack for a support agent's one-to-one from QA evaluations and conversation history. Trigger for "prepare a coaching session for X", "what areas does X need to improve", "areas of markdown for this agent", "what coaching opportunities stand out", "build a coaching agenda from these tickets", or preparing a weekly or monthly agent review.

Use to assign ownership, set review cadence, and deprecate support content without breaking self-service or AI grounding. Trigger for "who owns this article", "our KB is out of date", orphan articles, annual review calendar nobody follows, deprecating help content, knowledge governance, or preventing stale articles from quietly harming customers.

Design a refund, credit, and goodwill framework that separates owed redress from discretionary gestures, sets agent authority based on actual distributions, and enables consistent, auditable outcomes without escalating every request.

Use to audit whether customer support is reachable for people with access needs — channels, hours, authentication barriers, CAPTCHA, voice-only paths, and alternate formats. Trigger for "support accessibility audit", "can customers with disabilities reach us", CAPTCHA on contact form, voice-only support, alternate format requests, or accessibility checklist for CX.

Use to clean up sprawling helpdesk tags, categories and custom fields so reporting built on them means something. Trigger for "our tags are a mess", "consolidate our ticket categories", "why don't our tag reports add up", duplicate or near-duplicate tags, tags nobody uses, agents tagging inconsistently, or before building reporting on top of tags.

Use to find personal data support collects and stores that nothing actually uses, and to stop collecting it. Trigger for "do we collect too much data", "which fields do we actually use", data minimisation review, "why do we ask customers for this", reducing breach exposure, or a form that grew a field every quarter.

Use to turn an ad-hoc CX reporting request into a versioned spec that can be re-run each period and actually compared across periods. Trigger for weekly or monthly QA and support reports, "same report but for last week", "generate the weekly digest", "supervisor report for each team", a report request pasted as a long prompt for the second or third time, or when two runs of the same report disagree.

Use to assemble evidence that customers are getting good outcomes from support, at the level a board or regulator expects, rather than reporting activity metrics. Trigger for "evidence our customers get good outcomes", "consumer duty evidence from support", "board report on customer outcomes", outcomes-based regulatory reporting, or a request to show harm is not occurring.

Prepare and execute negotiations using tactical empathy, calibrated questions, and the Ackerman method. Use when the user mentions "salary negotiation", "contract terms", "handling objections", "mirroring and labeling", "difficult conversation", "deal terms", "BATNA", or "anchoring". Also trigger when preparing for vendor negotiations, resolving pricing disputes, or navigating high-stakes conversations where both parties need to feel heard. Covers accusation audits, Black Swan discovery, and the "Thats Right" technique. For persuasion in product/marketing, see influence-psychology.

Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation accounting", "build-measure-learn", or "minimum viable experiment". Also trigger when deciding what to include in a first version, measuring startup progress, or evaluating whether to change direction on a product bet. Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.

Craft messages that are understood, remembered, and drive action using the SUCCESs checklist (Simple, Unexpected, Concrete, Credible, Emotional, Stories). Use when the user mentions "make it memorable", "sticky messaging", "tagline", "value proposition", "why the message isnt landing", "knowledge curse", "surprise gap", or "concrete language". Also trigger when writing pitch decks, simplifying complex product explanations, or making presentations more compelling and memorable. For narrative brand frameworks, see storybrand-messaging. For viral sharing, see contagious.

Yuanbao (元宝) groups: @mention users, query info/members.

Select, pair, and implement typefaces for web projects. Use when the user mentions "font pairing", "which typeface", "line height", "responsive typography", "web font loading", "type hierarchy", "variable fonts", "FOUT/FOIT", or "typographic scale". Also trigger when choosing between system fonts and web fonts, optimizing font loading performance, or designing readable long-form content layouts. Covers readability evaluation, CSS implementation, and performance optimization. For overall UI design systems, see refactoring-ui. For dramatic typographic experiences, see top-design.

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.

Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.

Design and apply QA methodology for software teams: test strategy, regression testing, CI failure triage, test automation, quality gates and metrics, risk-based testing, exploratory testing, test design techniques, AI code quality gates (independent verification, acceptance-criteria testability review for agentic Spec-Driven Development), mutation-guided test hardening and review evidence (surviving mutants, weak assertions, diff-aware mutation testing), agentic eval design (dataset test design, judge-as-system-under-test, flaky-eval discipline), QA career levels (Senior/Staff/Principal), and SDET engineering (test infrastructure, gTAA, CI/CD integration). Do not use for root-cause debugging of production incidents, security implementation or threat modeling, or evaluation framework governance and statistical analysis — route those to systematic-debugging, secure-software-engineering, and agent-evals-and-observability respectively.

Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions "marketing plan", "target market", "USP", "lead nurture", "customer lifetime value", "referral program", "marketing strategy", or "PVP Index". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer lifecycle campaigns. Covers the PVP Index, channel selection, and advocacy systems. For brand messaging, see storybrand-messaging. For conversion optimization, see cro-methodology.

Spotify: play, search, queue, manage playlists and devices.

Throwaway HTML mockups: 2-3 design variants to compare.

Airtable REST API via curl. Records CRUD, filters, upserts.

Specific description with trigger conditions

Skilled agent architecture replacing multi-agent system for RL training. Trigger when: (1) planning agent-guided training, (2) implementing tool-augmented LLM consultations, (3) comparing skilled vs multi-agent approaches, (4) designing simulate-verify loops for training, (5) implementing prompt evolution / learnable parameters, (6) understanding Claude Agent SDK integration in training, (7) debugging SkilledTrainer consultations or tool calls, (8) configuring agent safety bounds for training actions.

CCXT multi-exchange crypto broker integration for better liquidity during after-hours capital shift

Fix 8-action space bug in backtest engines and rewrite backtest notebook for Colab v4.0.0

Multi-timeframe backtesting combining 15Min + 1Hour model signals. Trigger when: (1) multi-TF backtest, (2) combining timeframe signals in backtest, (3) validating multi-TF strategy, (4) --multi-tf CLI flag.

Complete 10-step SLURM workflow from raw data to processed results in KINTSUGI

Use Alpaca Algo Trader Plus for 4+ years of historical data. Trigger when: (1) increasing lookback, (2) data source selection, (3) yfinance comparison.

Pattern for deprecating external dependencies while maintaining backward compatibility. Trigger: removing Java/FIJI/MATLAB, deprecating optional deps