Coding & Development

Use when the user wants to respond to a code review remark by adding a clarifying comment to the source code — so the reviewer understands the reasoning and won't raise the same remark again. Triggers on "answer remark #N", "add comment to address reviewer concern", "document why we did X", or any request to resolve a review finding through in-code explanation rather than a code change.

Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.

description: 当用户给出一个具体的 URL，要求从这个页面提取信息时使用。适用于单页内容提取、单页日期/数据抽取。不适用于用户只给出查询词、没有给出 URL 的情况——那种情况由 multi-source-extractor 处理。不适用于 GitHub 仓库解读——那种情况由 github-repo-explainer 处理。

description:当用户给出一个查询词（而非具体 URL），要求从多个来源搜索并合并信息时使用。例如“帮我查一下某政策的最新消息”“找几个来源对比某个数据”。不适用于用户已经给出具体 URL 的情况——那种情况由 web-extractor 处理。

Extracts a GitHub URL (repo, issue, pull request, commit, file, release) into complete local artifacts AND explains in plain language what the project is trying to do, before presenting any details. Use when given a github.com link to "extract", "pull", "save", "read in full", or "explain", especially when the user says the result was unclear or when the URL carries a #number fragment.

Use this skill whenever the user asks to optimize code or make an application faster, more reliable under load, lower-latency, higher-throughput, or more resource-efficient. Trigger for profiling and performance audits; CPU or memory hot spots; slow endpoints; database queries, N+1 patterns, indexes, and round trips; or backend/API call latency, fan-out, and concurrency. Establish evidence, target the real bottleneck, and make the smallest maintainable change that improves the relevant outcome without weakening correctness, reliability, or YAGNI.

Collect system diagnostics and infrastructure health checks.

Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Builds REST APIs using minimal or controller-based routing, configures database access with Entity Framework Core, implements async patterns and cancellation, structures applications with CQRS via MediatR, and scaffolds Blazor components with state management. Invoke for C#, .NET, ASP.NET Core, Blazor, Entity Framework, EF Core, Minimal API, MAUI, SignalR.

Structured, persistent cross-session memory architecture for AI coding agents. Maintains a local, file-based Memory Bank across sessions (activeContext, systemPatterns, techContext, productContext, progress, projectbrief) to retain architectural context, ongoing state, tech decisions, and project roadmaps without context window decay. Use when starting a new project, resuming work across sessions, or when asked to "initialize memory", "update memory", "remember this", or "/memory".

A starting boilerplate template for creating new agent skills. Use when authoring a new personal or curated skill.

Run before entry. Keeps stops out of liquidation clusters and targets in front of them.

Audit installed skills for overlapping triggers, conflicting or outdated instructions, and evidence of usefulness. Use when the user requests a skill-library review, a skill audit after a model upgrade, or a comparison of an existing skill against a simpler or no-skill baseline.

Build health and medical apps on Anpheros, an HL7 FHIR R4 backend with patient consent (OAuth 2.1 / SMART on FHIR), provenance, an AI context API and a free sandbox with 30 synthetic patients. Use when the user wants to store or read medical records, vitals, lab results, medications, allergies or documents, ask a patient for consent, import HL7/CSV lab reports, or give an AI model a patient's context.

One line. What this skill does and when it runs.

>- Inventory a project for Amazon Bedrock AgentCore work and report before advising. Finds existing AgentCore resources and which tool owns them (Terraform `aws_bedrockagentcore_*`/`awscc_*`, CDK constructs, the AgentCore CLI's `agentcore.json`, the deprecated starter toolkit's `.bedrock_agentcore.yaml`, boto3 `bedrock-agentcore` clients, the AgentCore Python SDK and `@requires_access_token`), the agent framework (Strands, LangGraph, LangChain, Claude Agent SDK, CrewAI, OpenAI Agents, ADK, raw), MCP servers and the API Gateway routes and Lambdas behind `/mcp`, Cognito pools, clients and JWT authorizers, the AWS region and per-service availability there, the hashicorp/aws constraint and lock, Terragrunt, and Lambda tracing. Read-only; findings are the `DSC0xx` band. Use when asked "what do I have", "is this on AgentCore", "inventory this repo", "which region are we in", "is AgentCore available in eu-central-1", "what framework is this agent", or before any other AgentCore skill on an unfamiliar project. Don...

>- Plan the deployment of Amazon Bedrock AgentCore infrastructure and its rollback, and hand the user the exact commands — never running them. Finds the root module (or Terragrunt stack) that actually reaches the AgentCore resources, orders what comes up (identity and roles, then gateway, runtime and memory, then targets and strategies, then log delivery), flags where a first apply trips (IAM propagation, creation-only semantic search, Transaction Search before TRACES delivery, an old provider lock, no remote backend), checks published quotas (targets per gateway, tools per target), and emits init / validate / plan-to-file / show -json / policy check / apply of that saved plan, the post-apply checks, and the rollback for each kind of change. Findings are the `DPL0xx` band; the cost tier is `aws` because the commands create billable resources. Use when asked to "deploy the gateway", "apply this", "what order do I apply in", "how do I roll back", "will this hit a quota", "give me the terraform commands". Don...

>- Estimate what Amazon Bedrock AgentCore will cost per month from a usage profile, line by line with the formula for each line, and put a budget and a usage alarm around it. Prices the published AgentCore rate card (Gateway invocations, search and tool indexing; Identity token requests, free through Runtime or Gateway; Runtime vCPU-hours billed only while active and GB-hours; Memory short-term events — per 1,000 events until 2026-10-05, per GB from 2026-10-06 — and long-term records and retrievals; Evaluations tokens), prices model tokens only at the user's own per-1,000 rates, and lists what it does not price (Lambda, API Gateway, CloudWatch, X-Ray, DynamoDB) so the total is never mistaken for the bill. Generates an AWS Budget filtered to AgentCore with forecast and actual alerts, plus a CloudWatch alarm on gateway invocations, as Terraform after a dry run. Findings are the `CST0xx` band. Use when asked "what will AgentCore cost", "estimate the gateway bill", "is there a free tier", "memory pricing chang...

Set up and run an autonomous Claude Code–Codex loop in which Claude executes a project, Codex periodically reconciles and critically reviews the results, and Codex sends the next bounded prompt until verified success or a stop condition.

Checklist for shipping an HTML5 or WebGL browser game and finding its first players. Covers load speed, touch controls, title and Open Graph share tags, free hosting (GitHub Pages, Netlify, Vercel, itch.io) and where to list it (itch.io, Newgrounds, Foundplay, portals). Use when the user wants to publish, deploy, launch or get players for a browser game.

Audit an AGENTS.md, CLAUDE.md, Cursor rule or Copilot instructions file for stale commands, broken paths, vague rules, secrets and contradictions. Use when asked to review, trim or check agent instructions.

Upgrade one dependency at a time by reading its changelog, planning for breaking changes, updating code and proving the project still builds and passes. Use when asked to bump, update or migrate a package or framework.

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Conduct a retrospective on a coding session.