Agent Workflows

Reusable agent workflows and orchestration patterns

311 skills available

Skills List

story-deslop

story-deslop

4.1Kagent-workflows

网文去AI味。检测并清除文本中的AI写作痕迹,让文字回归自然、非模板化。触发方式:/story-deslop、/去AI味、「去AI味」「这篇太AI了」「网文去AI味」。

worldwonderer avatarworldwonderer
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story-long-analyze

story-long-analyze

4.1Kagent-workflows

长篇网文拆文。深度拆解爆款长篇小说的黄金三章、人设架构、爽点设计、节奏控制。单一深度拆解管道:跑完黄金三章(Stage 1)后产出快速预览报告并询问是否继续全量拆解,确认后从 Stage 2 续跑逐章摘要、聚合分析、设定关系、汇总报告,全程产物落盘 拆文库/{书名}/。触发方式:/story-long-analyze、/长篇拆文、「帮我拆这本书」「拆这本书」「分析黄金三章」「深度拆解」「完整拆解」「系统拆解」或提供小说文本文件路径——全部进入同一管道。

worldwonderer avatarworldwonderer
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story-short-write

story-short-write

4.1Kagent-workflows

短篇网文写作。辅助短篇小说创作,从构思到成稿,聚焦情绪拉扯与节奏把控。触发方式:/story-short-write、/写短篇、「帮我写一篇短篇」「写个盐言故事」。

worldwonderer avatarworldwonderer
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remotion-upgrade

remotion-upgrade

4.1Kagent-workflows

Upgrade Remotion, its related packages, compatible Mediabunny packages, and installed Remotion Agent Skills. Use when asked to upgrade or update a Remotion project.

remotion-dev avatarremotion-dev
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printing-press-polish

printing-press-polish

4Kagent-workflows

Polish a generated CLI to pass verification and become publish-ready. Runs diagnostics (dogfood, verify, scorecard, go vet, gosec), automatically fixes all issues (verify failures, static-analysis findings, dead code, descriptions, README, MCP tool quality), reports the before/after delta, and offers to publish. Use after any /printing-press run, or on any CLI in $PRESS_LIBRARY/. Trigger phrases: "polish", "improve the CLI", "fix verify", "make it publish-ready", "clean up the CLI", "get this ready to ship".

mvanhorn avatarmvanhorn
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google-agents-cli-adk-code

google-agents-cli-adk-code

3.1Kagent-workflows

>

google avatargoogle
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loop-library

loop-library

3Kagent-workflows

Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.

forward-future avatarforward-future
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ctf-ai-ml

ctf-ai-ml

2.8Kagent-workflows

Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.

ljagiello avatarljagiello
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ctf-writeup

ctf-writeup

2.7Kagent-workflows

Generates a single standardized submission-style CTF writeup for competition handoff and organizer review. Use after solving a CTF challenge to document the solution steps, tools used, and lessons learned in a structured format.

ljagiello avatarljagiello
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solve-challenge

solve-challenge

2.7Kagent-workflows

Solves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.

ljagiello avatarljagiello
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ctf-pwn

ctf-pwn

2.7Kagent-workflows

Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as buffer overflows, format strings, heap bugs, ROP, ret2libc, shellcode, kernel exploitation, seccomp bypass, sandbox escape, or Windows/Linux exploit chains. Do not use it when the main blocker is understanding what the binary does; use reverse engineering first. Do not use it for pure web bugs, disk or packet forensics, or standalone crypto/math challenges.

ljagiello avatarljagiello
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wecomcli-create-meeting

wecomcli-create-meeting

2.6Kagent-workflows

企业微信会议创建技能, 支持创建预约会议. 当用户需要\"创建会议\", \"预约会议\", \"约会议\", \"安排会议\"时触发.

wecomteam avatarwecomteam
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ccc

ccc

2.5Kagent-workflows

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

cocoindex-io avatarcocoindex-io
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chinese-novelist

chinese-novelist

2.4Kagent-workflows

分章节创作引人入胜的中文小说。支持各种题材(悬疑/言情/奇幻/科幻/历史等),支持10-50章长篇创作,每章3000-5000字,结尾设置悬念钩子。强调深度润色去除AI痕迹,确保文字自然流畅。 当用户要求:写小说、创作故事、分章节写作、连续剧情、章节悬念、长篇小说时使用。

penglonghuang avatarpenglonghuang
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golang-code-style

golang-code-style

2.3Kagent-workflows

Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).

samber avatarsamber
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golang-error-handling

golang-error-handling

2.3Kagent-workflows

Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops` skill; for slog handler ecosystem → See `samber/cc-skills-golang@golang-samber-slog` skill.

samber avatarsamber
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golang-performance

golang-performance

2.3Kagent-workflows

Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).

samber avatarsamber
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golang-design-patterns

golang-design-patterns

2.3Kagent-workflows

Idiomatic Golang design patterns — functional options, constructors, error flow and cascading, resource management and lifecycle, graceful shutdown, resilience, architecture, dependency injection, data handling, streaming, and more. Apply when explicitly choosing between architectural patterns, implementing functional options, designing constructor APIs, setting up graceful shutdown, applying resilience patterns, or asking which idiomatic Go pattern fits a specific problem.

samber avatarsamber
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golang-naming

golang-naming

2.3Kagent-workflows

Go (Golang) naming conventions — covers packages, constructors, structs, interfaces, constants, enums, errors, booleans, receivers, getters/setters, functional options, acronyms, test functions, and subtest names. Use this skill when writing new Go code, reviewing or refactoring, choosing between naming alternatives (New vs NewTypeName, isConnected vs connected, ErrNotFound vs NotFoundError, StatusReady vs StatusUnknown at iota 0), debating Go package names (utils/helpers anti-patterns), or asking about Go naming best practices. Also trigger when the user mentions MixedCaps vs snake_case, ALL_CAPS constants, Get-prefix on getters, or error string casing. Do NOT use for general Go implementation questions that don't involve naming decisions.

samber avatarsamber
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golang-context

golang-context

2.3Kagent-workflows

Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values, context.WithoutCancel for background work outliving requests. Apply when designing context propagation across layers, debugging leaked or unexpired contexts, choosing between context.Background/TODO/WithoutCancel, or storing values in context. Not for code that merely accepts ctx as first parameter.

samber avatarsamber
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golang-safety

golang-safety

2.3Kagent-workflows

Defensive Golang coding to prevent panics, silent data corruption, and subtle runtime bugs. Use when encountering nil panics, append aliasing, map concurrent access, float comparison pitfalls, or zero-value design questions. Also use when reviewing code for nil-safety, numeric conversion overflow, resource lifecycle issues (defer in loops), or defensive copying of slices and maps.

samber avatarsamber
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golang-modernize

golang-modernize

2.3Kagent-workflows

Modernize Golang code to use recent language features, standard library improvements, and idiomatic patterns. Trigger proactively when writing or reviewing Go code and old-style patterns are detected, or when encountering a deprecation warning. Also use when the user explicitly asks for modernization, a Go version upgrade, or a CI/tooling refresh.

samber avatarsamber
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golang-project-layout

golang-project-layout

2.3Kagent-workflows

Provides a guide for setting up Golang project layouts and workspaces. Use when starting a new Go project, organizing an existing codebase, setting up a monorepo with multiple packages, creating CLI tools with multiple main packages, deciding between cmd/internal/pkg directory conventions, or discussing package restructuring, package splits, or module splits.

samber avatarsamber
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golang-lint

golang-lint

2.3Kagent-workflows

Linting best practices and golangci-lint configuration for Golang projects — running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and selecting linters. Use when configuring golangci-lint, asking about lint warnings or nolint suppressions, setting up code quality tooling, or choosing linters. Also use when the user mentions golangci-lint, go vet, staticcheck, or revive.

samber avatarsamber
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