AI & ML

charlieviettq Skill

Use when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing multi-model deployments.

charlieviettq Skill

Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations.

charlieviettq Skill

Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features, comparing prompts/models, or debugging agent failures. Triggers: "agent eval", "benchmark agent", "tool accuracy", "agent regression".

charlieviettq Skill

Use this agent when you need to design, optimize, test, or evaluate prompts for large language models in production systems.

charlieviettq Skill

Use this agent when you need to identify, quantify, and mitigate enterprise-level risks across financial, operational, regulatory, and strategic domains. Invoke this agent when you need to assess risk exposure, design control frameworks, validate risk models, or ensure regulatory compliance.

charlieviettq Skill

Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution.

charlieviettq Skill

Design agent tools and CLI surfaces—schemas, naming, errors, idempotency, and discoverability for LLM callers. Use when defining tools for agents, SDKs, or AI-native CLIs. Triggers: "tool schema", "agent tool", "function calling", "AI CLI".

charlieviettq Skill

Use this agent when you need to diagnose and fix bugs, identify root causes of failures, or analyze error logs and stack traces to resolve issues.

charlieviettq Skill

Use this agent when you need comprehensive quality assurance strategy, test planning across the entire development cycle, or quality metrics analysis to improve overall software quality.

charlieviettq Skill

Audit third-party agent skills before install—metadata, triggers, scripts, network/exfil patterns, and overlap with existing skills. Use before importing skills from external catalogs or vendoring new SKILL.md files. Triggers: "audit skill", "import skill", "skill security", "third-party skill".

charlieviettq Skill

Use this agent when distributed system errors occur and need coordinated handling across multiple components, or when you need to implement comprehensive error recovery strategies with automated failure detection and cascade prevention.

charlieviettq Skill

Manage LLM context budgets—prioritization, summarization, compaction, and what to load vs reference. Use for long sessions, large repos, or multi-doc tasks. Triggers: "context window", "too long", "summarize context", "token budget".

charlieviettq Skill

Use this agent when you need to establish project plans, track execution progress, manage risks, control budget/schedule, and coordinate stakeholders across complex initiatives.

charlieviettq Skill

Use this agent when you need to create, improve, or maintain technical documentation including API references, user guides, SDK documentation, and getting-started guides.

charlieviettq Skill

Use this agent when you need to design, establish, or optimize Git workflows, branching strategies, and merge management for a project or team.

charlieviettq Skill

Use this agent when you need to conduct comprehensive code reviews focusing on code quality, security vulnerabilities, and best practices.

charlieviettq Skill

Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling.

charlieviettq Skill

Split independent work across parallel agents with explicit boundaries and a parent integration review. Use only when user allows subagents and tasks do not share mutable files. Triggers: "parallel agents", "fan out tasks", "run in parallel".

charlieviettq Skill

Execute an approved plan via one subagent per task with spec and quality checks. Use only when user allows subagents and a written plan exists. Triggers: "subagent per task", "dispatch implementer", "agent per plan step".

charlieviettq Skill

Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting.

charlieviettq Skill

Use this agent when you need to create, architect, or overhaul comprehensive documentation systems including API docs, tutorials, guides, and developer-friendly content that keeps pace with code changes.

charlieviettq Skill

Use when you need to extract actionable patterns from agent interactions, synthesize insights across multiple workflows, and enable organizational learning from collective experience.

charlieviettq Skill

Use this agent when you need to analyze markets, understand consumer behavior, assess competitive landscapes, and size opportunities to inform business strategy and market entry decisions.

charlieviettq Skill

Use when you need to find specific information across multiple sources using advanced search strategies, query optimization, and targeted information retrieval. Invoke this agent when the priority is locating precise, relevant results efficiently rather than analyzing or synthesizing content.

charlieviettq Skill

Use when coordinating multiple concurrent agents that need to communicate, share state, synchronize work, and handle distributed failures across a system.

charlieviettq Skill

Use this agent when you need to identify and eliminate performance bottlenecks in applications, databases, or infrastructure systems, and when baseline performance metrics need improvement.

charlieviettq Skill

Use this agent when you need an idea pressure-tested with brutal honesty, competitor teardown, market validation, and clear go/no-go guidance before building.

charlieviettq Skill

Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning.

charlieviettq Skill

Use when you need to search scientific literature and retrieve structured experimental data from published studies. Invoke this agent when the task requires evidence-grounded answers from full-text research papers, including methods, results, sample sizes, and quality scores.

takusaotome Bundle

Comprehensive data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.

takusaotome Bundle

AI（LLM）が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン（視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー）を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 （バランスを崩す・客観を崩す・論理を崩す）でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。

kesslernity Bundle

Reviews one SKILL.md against the format rules and returns a findings table: strict YAML front matter with exactly name and description, name equal to the folder, description as the trigger, the eight-heading skeleton, capability-neutral wording, safety boundaries. Each finding carries severity, rule identifier, location, quoted evidence and replacement text; the verdict READY, REVISE or BLOCKED is an apparent state and the owner decides. Use when the user asks to "review this SKILL.md", "check my skill file before upload", "lint this skill description", "validate the front matter of this skill" or "score this skill folder". Do not use to write an agent's instructions field, use agent-instructions-drafter instead; for injection or leakage exposures use agent-instructions-red-team; for launch tests use agent-evaluation-plan. Drafts for human review; never approves, authorises or signs off.

kesslernity Bundle

Builds a DRAFT month-end, quarter-end or year-end close checklist and status table for a finance team from the close calendar, the open items list and last month's close issues that the user attaches, pastes or the agent can reach, marks every task on time, due, late, at risk or blocked, and flags dependency chains and repeat issues. Use when the user asks to "build the close checklist", "where are we on the month-end close", "what is late or blocked in the close", "refresh the close tracker as of today" or "prepare the close status note". Do not use for a project tracker or weekly project status, use project-status-tracker instead; for corrective actions from audits or NCRs, use corrective-action-tracker. Drafts for human review; never approves, authorises or signs off.

kesslernity Bundle

Designs a pre-launch evaluation plan for a declarative agent from its instructions text, skills, capabilities, knowledge sources and sample requests: a behaviour contract of testable statements quoted from the text, test prompts by scenario family and tier with setup, expected behaviour, pass and fail criteria and red flags, a red-flag catalogue, a blank scoring sheet, a coverage table and a go or no-go checklist the owner completes and decides. Use when the user asks to "write test cases for my agent", "how do I evaluate this agent before launch", "build a test plan for the agent", "what should I check before publishing this agent" or "give me a go no-go checklist". Do not use for finding injection or leakage exposures in the instructions, use agent-instructions-red-team instead; do not use for reviewing one SKILL.md, use skill-file-reviewer instead. Drafts for human review; never approves, authorises or signs off.

kesslernity Bundle

Answers an employee's or manager's HR policy question strictly from the policy documents the user supplies or the agent can reach as knowledge: a DRAFT answer that quotes the governing clause with its document, version and clause reference, lists the conditions and exceptions the text states, returns UNKNOWN where the documents are silent and names the role to ask. Never invents a rule, fills a gap from general practice or decides an individual's case. Use when the user asks to check a policy, for example "what does the policy say about", "am I entitled to", "how many days of leave do I get", "what is the process for requesting", "does the handbook allow" or "which clause covers". Do not use for comparing two policy versions or briefing a change, use policy-change-briefing instead. Drafts for human review; never approves, authorises or signs off.

kesslernity Bundle

Drafts the instructions field of a declarative agent that orchestrates a set of custom skills, under a character cap (default 8,000), from the skills' names and descriptions: role and scope, one routing rule per skill, workflow order, gates written as workflow holds, global rules, output format and what the agent never does. Returns the text in a fenced block with its character count labelled counted or estimated, plus a skill inventory, routing table, gate table, rules trace and open questions for the owner. Use when the user asks to "write the instructions for my agent", "draft a system prompt that ties these skills together", "tighten these agent instructions to fit the cap", "how should the agent route between these skills" or "revise my agent's orchestration text". Do not use to review a single SKILL.md, use skill-file-reviewer instead. Drafts for human review; never approves, authorises or signs off.