Browse Skills — Page 102

dspy-miprov2-optimizer

OmidZamani/dspy-skills

Use for MIPROv2, Bayesian optimization, instruction and demo tuning, and high-performance DSPy program optimization.

dspy-optimize-anything

OmidZamani/dspy-skills

Use for GEPA optimize_anything on text artifacts such as code, prompts, agent architectures, configs, and non-DSPy optimization targets.

dspy-optimizer-selection

OmidZamani/dspy-skills

Use to choose or compare DSPy optimizers including LabeledFewShot, BootstrapFewShot, MIPROv2, SIMBA, GEPA, BootstrapFinetune, Ensemble, and BetterTogether.

dspy-output-refinement-constraints

OmidZamani/dspy-skills

Use for dspy.Refine, dspy.BestOfN, output constraints, validation, reward functions, and iterative output refinement.

dspy-production-deployment

OmidZamani/dspy-skills

Use for deploying DSPy with save/load, configure_cache, restrict_pickle, track_usage, async execution, streaming, and production runtime controls.

dspy-rag-pipeline

OmidZamani/dspy-skills

Use for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.

dspy-react-agent-builder

OmidZamani/dspy-skills

Use for ReAct agents, tool-calling agents, dspy.ReAct, multi-step reasoning and acting, and GEPA agent optimization.

dspy-reasoning-modules

OmidZamani/dspy-skills

Use for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context workflows.

dspy-signature-designer

OmidZamani/dspy-skills

Use for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas.

dspy-simba-optimizer

OmidZamani/dspy-skills

Use for SIMBA optimization, mini-batch introspective optimization, self-reflective rules, stochastic ascent, and numeric-metric optimization.

dsql

awslabs/agent-plugins

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django/EF Core/Hibernate/Rails), DDL operations, query plan explainability, system diagnostics via CloudWatch AAS, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader, DSQL slow, DSQL performance, DSQL wait events, DSQL AAS.

dstack

dstackai/dstack

|

dstack-prototyping

dstackai/dstack

|

dt-alerting

Dynatrace/dynatrace-for-ai

End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and denoising by root cause analysis, and workflow-based notification routing (email, Slack, ServiceNow, webhook). Use when configuring alerting, choosing between detector types, querying alert event history, understanding why alerts merged into a problem, or setting up problem-triggered notifications.

dt-app-dashboards

Dynatrace/dynatrace-for-ai

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

dt-app-notebooks

Dynatrace/dynatrace-for-ai

Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.

dt-dql-essentials

Dynatrace/dynatrace-for-ai

Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands, data models, field namespaces, time alignment, entity/smartscape patterns, metric discovery, and performance/cost optimization (filter early, bucket filters, short time ranges, field selection, sampling, cardinality). Trigger: \"write/build/fix a DQL query\", \"DQL syntax\", \"query logs/spans/metrics\", \"create a timeseries\", \"optimize my DQL\", \"make my query faster/cheaper\", \"reduce DQL cost/consumption/scanned data\", \"keep DQL cost under control\". Do NOT use to explain an existing query or answer product questions. For MONITORING a tenant's ACTUAL query consumption/billing (how much queries cost, who scanned most, cost trends) use dt-platform-costs — this tunes the query text, not billing data.

dt-js-runtime

Dynatrace/dynatrace-for-ai

Dynatrace server-side JS runtime — function contract, runtime limits, Web APIs, Node.js modules, fetch with credential vault, and the @dynatrace-sdk/* catalog.

dt-migration

Dynatrace/dynatrace-for-ai

Migrate Dynatrace classic and Gen2 entity-based DQL to Smartscape equivalents. Covers three scenarios. (1) mass data queries filtered by classic entity conditions — migrate to direct dimension filters first, Smartscape only as fallback; (2) mass data queries using entity subqueries for filtering — same dimension-first strategy; (3) pure entity list queries — migrate fetch dt.entity.* to smartscapeNodes. Also handles entityName, entityAttr, classicEntitySelector, and classic relationship patterns.

dt-obs-android

Dynatrace/dynatrace-for-ai

Instruments an existing Android project (Kotlin or Java) with the Dynatrace Mobile Agent for basic monitoring. Covers zero-to-first-event setup only: Gradle plugin, agent config, and user privacy opt-in. Do not use for advanced Dynatrace configuration beyond initial instrumentation.

dt-obs-aws

Dynatrace/dynatrace-for-ai

>-

dt-obs-azure

Dynatrace/dynatrace-for-ai

Azure cloud resources including VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet networking, load balancers, Event Hubs, Container Apps, and Key Vault. Monitor Azure infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across subscriptions and resource groups.

dt-obs-flutter

Dynatrace/dynatrace-for-ai

>-

dt-obs-frontends

Dynatrace/dynatrace-for-ai

Real User Monitoring (RUM) on Dynatrace — web and mobile frontends. Core Web Vitals, user sessions, page performance, mobile crashes, frontend errors, and frontend-backend linking. Query via `user.events`, `user.sessions`, and `dt.frontend.*` metrics. Does NOT cover synthetic monitoring (HTTP/browser/network checks) — that's a separate domain.

dt-obs-gcp

Dynatrace/dynatrace-for-ai

GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring. Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across projects and folders.

dt-obs-genai

Dynatrace/dynatrace-for-ai

>-

dt-obs-hosts

Dynatrace/dynatrace-for-ai

>-

dt-obs-ios-sdk

Dynatrace/dynatrace-for-ai

Set up the Dynatrace iOS SDK (OneAgent) in an iOS project using Swift Package Manager. Automates adding the SPM dependency, creating a Dynatrace.plist configuration file, adding the import statement, adding privacy opt-in code, and building the project. Use this skill when the user wants to integrate, install, add, or set up Dynatrace monitoring in their iOS app. Keywords: Dynatrace, iOS, SDK, OneAgent, setup, install, integrate, SPM, Swift Package Manager, Info.plist, DTXApplicationID, DTXBeaconURL, mobile monitoring, RUM.

dt-obs-kubernetes

Dynatrace/dynatrace-for-ai

>-

dt-obs-log-semantic-mapping

Dynatrace/dynatrace-for-ai

Suggest and validate semantic dictionary (SD) mappings for audit log integrations using raw vendor log payloads or live ingested events. Use when: mapping a vendor audit log feed, authentication logs, user activity logs to the Dynatrace SD; checking required semantic fields; proposing OpenPipeline processor extraction rules based on DQL; running runtime validation (fetches live logs by log.source, then applies static validation).

dt-obs-logs

Dynatrace/dynatrace-for-ai

>-

dt-obs-predictive-analytics

Dynatrace/dynatrace-for-ai

Predictive analytics for Dynatrace — time series forecasting with the timeseries-forecast tool, capacity saturation planning, trend and anomaly detection across hosts, services, and infrastructure.

dt-obs-problems

Dynatrace/dynatrace-for-ai

>-

dt-obs-react-native

Dynatrace/dynatrace-for-ai

>-

dt-obs-services

Dynatrace/dynatrace-for-ai

>-

dt-obs-tracing

Dynatrace/dynatrace-for-ai

>-

dt-platform-costs

Dynatrace/dynatrace-for-ai

Query and analyze a Dynatrace tenant's ACTUAL billing and usage data with DQL against dt.system.events — DPS consumption breakdown, cost-normalized spend ranking, included volume deduction, chargeback/showback, cost drivers, spending trends, cost investigation, metrics ingest optimization, query cost attribution, workflow total cost, and entity-level cost drill-down (RUM, hosts, synthetic, K8s). Also directs licensing/entitlement questions to the right resource (not available via DQL). USE ONLY to query/analyze the tenant's actual consumption. Do NOT use for conceptual 'explain' questions about how DPS billing/pricing works or what units/weights/the rate card mean — those belong to Dynatrace documentation. Also do NOT use for making a DQL query itself faster or cheaper to run (query optimization, reducing scanned data/consumption per run, filter-early best practices) — that belongs to dt-dql-essentials. This skill only MEASURES recorded consumption; it does not tune queries.

dt-sec-insights

Dynatrace/dynatrace-for-ai

>-

dt-sec-semantic-mapping

Dynatrace/dynatrace-for-ai

Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events. Use when: mapping a new security vendor data to Dynatrace SD; checking required fields; validating namespaces; highlighting discrepancies vs the semantic dictionary; proposing mapping improvements; running runtime validation against live tenant data.

dual-channel-watchexec

terrylica/cc-skills

Dual-channel notifications on watchexec events. TRIGGERS - watchexec alerts, Telegram+Pushover, file change notifications.

dual-disease-shared-transcriptome-biomarker

aipoch/medical-research-skills

Generates complete dual-disease shared-transcriptome biomarker and hub-gene research designs from a user-provided disease pair and shared-biology direction. Always use this skill whenever a user wants to design, plan, or build a non-oncology two-disease transcriptome study centered on per-disease differential expression, shared-signal intersection or concordance, PPI-based hub-gene prioritization, diagnostic evaluation across both diseases, immune infiltration context, pathway interpretation, and optional orthogonal validation. Covers five study patterns (shared-DEG-first workflow, hub-gene-first shared-biomarker workflow, hybrid shared-biomarker compression workflow, immune-context shared-biomarker workflow, orthogonal validation workflow) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path...

dual-disease-transcriptomic-ml-planner

aipoch/medical-research-skills

Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. Use when users want to identify shared DEGs, common hub genes, cross-disease biomarkers, or shared molecular mechanisms between two diseases using public GEO data. Triggers:"shared biomarker study for two diseases", "dual-disease transcriptomic ML paper", "identify common DEGs between disease A and B", "cross-disease hub gene discovery", "shared DEG + PPI + ROC design", "immune infiltration shared biomarker", or "I want to study disease X and Y together". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.

duckdb

TerminalSkills/skills

>

duckdb-en

aAAaqwq/AGI-Super-Team

DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conversion. Triggers on "duckdb", "sql", "query", "data analysis", "parquet", "convert data".

duckduckgo-search

NousResearch/hermes-agent

Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.

duffel

vm0-ai/vm0-skills

Duffel API for booking flights and hotels (stays). Use when user mentions "Duffel", "book flight", "flight search", "airline API", "hotel booking", "stays API", or travel booking.

duffel

obra/muse-skills

Use Duffel to search, book, pay for, or manage flights. Use Duffel to monitor an already booked flight's fare when the user directly asks for ongoing price monitoring.

duftmarke-und-geschmacksmarke

Klotzkette/claude-fuer-deutsches-recht

Riechmarken und Geschmacksmarken: EuGH C-273/00 Sieckmann-Kriterien, faktische Uneintragbarkeit, Workaround-Strategien ueber Aroma-Patente, UWG-Nachahmungsschutz § 4 Nr. 3 UWG, Geheimrezept-Schutz. Laedt, wenn der Nutzer 'Duftmarke', 'Riechmarke', 'Parfum Marke', 'Geschmacksmarke' oder 'Duft schützen' sagt.

dummy-dataset

phuryn/pm-skills

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

dump

kurtosis-tech/kurtosis

Dump Kurtosis state for debugging and sharing. Export enclave state including service logs, configurations, and file artifacts to a local directory. Use when you need to capture state for offline analysis or to share with others for debugging.

dump-channel

terrylica/cc-skills

user wants to archive, dump, or back up an entire Telegram channel or chat history to NDJSON with all media files downloaded. Full history.

dune

TermiX-official/cryptoclaw

Execute and query Dune Analytics dashboards for on-chain data and custom SQL analytics.

dungeon-fighter-online-automation

ComposioHQ/awesome-claude-skills

"Automate Dungeon Fighter Online tasks via Rube MCP (Composio). Always search tools first for current schemas."

dupcheck

H-mmer/pentest-agents

Check if a vulnerability has already been reported. Searches platform hacktivity + local findings. Usage: /dupcheck <vuln_type> e.g. /dupcheck XSS in search endpoint

duplicate-detection

t0ddc3by/claude-for-customer-success

Identifies duplicate accounts, contacts, and opportunities in HubSpot. Produces merge candidates with confidence scores (High/Medium/Low). Never merges autonomously — all merges require Write-tier human confirmation. Triggers: 'duplicates', 'merge candidates', 'duplicate accounts', 'duplicate contacts', 'clean up CRM duplicates'.

openai/durable-objects

openai/plugins

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare/durable-objects

cloudflare/skills

Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.

duration-estimation

yogsoth-ai/de-anthropocentric-research-engine

Three-point PERT estimation for implementation activities

duration-prediction

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Predict project duration using k-NN and regression. Estimate timeline based on similar historical projects.

dv-admin

microsoft/Dataverse-skills

Environment-level Dataverse administration — bulk delete, retention/archival, organization settings, OrgDB settings, recycle bin, audit, and the 37 allowlisted PPAC toggles. Use when the user wants to clean up data at scale, configure audit, change environment settings, or manage retention policies.

dv-connect

microsoft/Dataverse-skills

One-step setup for a Dataverse environment — installs tools, authenticates, registers the MCP server, and writes `.env`. Use when starting a new project, switching environments, fixing authentication, or troubleshooting an MCP connection that won't come up.

dv-data

microsoft/Dataverse-skills

Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables.

dv-metadata

microsoft/Dataverse-skills

Dataverse schema authoring and inspection — tables, columns, relationships, forms, and views. Use when the user wants to define, evolve, or inspect the data model — add a column, create a table, set up a lookup, customize a form, build a view, or list existing columns and relationships.

dv-overview

microsoft/Dataverse-skills

Foundational cross-cutting context for Dataverse / Power Platform work — scope and the skill map, the tool-capability reference, the safety rules, and the safe change lifecycle. Use when the user mentions Dataverse, Dynamics 365, Power Platform, or CRM; load this first for orientation. Specialist skills self-route via their own frontmatter triggers.

dv-query

microsoft/Dataverse-skills

Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration.

dv-security

microsoft/Dataverse-skills

Security-role assignment, user access, application users, business units, and admin self-elevation in Dataverse environments. Use when the user wants to give someone access, grant a role, become an admin, or add a service principal.

dv-solution

microsoft/Dataverse-skills

Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod.

dvc

TerminalSkills/skills

|

dwarf-expert

trailofbits/skills

Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).

dwarf-expert

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dwarf-expert-v2

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dwg-to-excel

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.

dws

DingTalk-Real-AI/dingtalk-workspace-cli

管理钉钉产品能力(AI表格/AI搜问/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/原生Markdown文件/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、模糊找人/查谁负责某事项、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、读取或修改原生.md文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。

dws-shared

DingTalk-Real-AI/dingtalk-workspace-cli

dws 多 skill 模式的公共参考——认证、全局参数、Schema 命令发现、多组织 / --profile 规则、安全底线。所有 dingtalk-* 子 skill 执行前先读本 skill。命令前缀：dws。

dx-optimizer

benjaminasterA/antigravity-awesome-skills

Developer Experience specialist. Improves tooling, setup, and

dx-optimizer-v2

diegosouzapw/awesome-omni-skills

dx-optimizer workflow skill. Use this skill when the user needs Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dx-roaster

Varnan-Tech/opendirectory

Brutally honest developer-experience audit for a GitHub repo. Scores 10 DX dimensions (time-to-first-success, README clarity, visual proof, install, quick-start, docs, examples, community, trust, marketing), writes a shareable roast in the requested tone (brutal/honest/kind), produces a prioritized action plan ranked by impact × effort, and sketches an ideal README. Trigger when user says "roast my repo", "audit my README", "dx audit", "developer experience review", "score my GitHub project", "before launch checklist", or "make my repo shareable".

dyn-object-masks

elizaOS/eliza

Generate dynamic-object binary masks after global motion compensation, output CSR sparse format.

dynamic

popup-studio-ai/bkit-claude-code

|

dynamic-content-personalizer

aaron-he-zhu/aaron-marketing-skills

Use when the user asks to "personalize the email", "add merge tags / dynamic content", "set up conditional blocks per segment", or "make first-name and product-recommendation fields fall back safely"; produces a merge-tag map with per-tag fallbacks, conditional-block rules with per-segment variations, a fallback-safety audit, and a PII guard on what may render, informing the SEND E (Engagement/personalization) dimension. Not for building the segments — use list-segment-builder; not for writing the base copy — use email-creative-builder; not for scoring EQS or running vetoes — use email-quality-auditor. 邮件个性化/合并标签/条件内容块/兜底默认值

dynamic-pricing-ecommerce

nexscope-ai/eCommerce-Skills

Design a controlled dynamic-pricing or repricing system for ecommerce products. Use when a seller asks for demand-based, inventory-based, competitor-responsive, or time-based price rules; SKU eligibility; price floors and ceilings; automation approvals; simulations; monitoring; or rollback plans across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not use for a one-time optimal-price calculation or to change live prices without explicit authorization.

dynamic-tracking

yogsoth-ai/de-anthropocentric-research-engine

Strategy for continuous rating updates using Elo, Glicko-2, TrueSkill 2, and Whole-History Rating for live ranking systems and A/B testing.

Dynamics 365 Automation

ComposioHQ/awesome-claude-skills

"Dynamics 365 Automation: manage CRM contacts, accounts, leads, opportunities, sales orders, invoices, and cases via the Dynamics CRM Web API"

dynamo-interconnect-check

openai/plugins

Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.

dynamo-router-starter

openai/plugins

Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.

dynamodb

itsmostafa/aws-agent-skills

AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.

dynamodb-toolbox-patterns

giuseppe-trisciuoglio/developer-kit

Provides TypeScript patterns for DynamoDB-Toolbox v2 including schema/table/entity modeling, .build() command workflow, query/scan access patterns, batch and transaction operations, and single-table design with computed keys. Use when implementing type-safe DynamoDB access layers with DynamoDB-Toolbox v2 in TypeScript services or serverless applications.

e-bookkeeping-compliance

kazukinagata/shinkoku

>

E-Commerce Feed Management

nexscope-ai/eCommerce-Skills

AI-powered product feed management and monitoring skill. Designs feed health checks, sync error diagnostics, missing SKU detection, and attribute completeness validation for e-commerce product catalogs.

e-tax

kazukinagata/shinkoku

>

e2b

vm0-ai/vm0-skills

E2B API for creating and managing secure cloud sandboxes for AI code

e2b-box

e2b-dev/herdr-e2b-sandbox

Drive the herdr-e2b plugin — e2b-box, e2b-fleet, e2b-bench, e2b-dash — from the CLI, the way an agent orchestrator (or a human without the keybindings) uses it. Two workflows it maps: (1) you already have a worktree and want its work mirrored into an E2B cloud sandbox (e2b-box open/sync/pull, one box per worktree), and (2) you want ONE task fanned out from the current checkout to several coding agents at once — claude, codex, opencode, amp, grok, droid, prime, muse — each in its own auto-created worktree + sandbox (e2b-fleet), then monitored, graded with a held-out check (e2b-bench), and the best result pulled back (best-of-n). Use whenever the user mentions e2b-box, e2b-fleet, e2b-bench, fleets, "run the same task on claude and codex", "fan this out to N agents", "send this worktree to a sandbox", "move my work to the cloud box", "grade the fleet", "best of n agents", "pull the winner", or presses/asks about prefix+shift+E / prefix+shift+F / prefix+shift+D in herdr. Also use when orchestrating these commands yourself as the agent instead of the human.

e2e

vellum-ai/vellum-assistant

>

e2e

coreyhaines31/conlang

Agentic end-to-end tests with e2e, the e2e runner. Covers scaffolding e2e.config.ts, picking the Playwright browser engine or the agent-device mobile engine, starting the app under test from the config, driving flows with agent.act, judging with agent.assert, agent.waitFor, and agent.extract, pinning values with screen, app, browser, and expect, shaping the agent (context, system prompt, tools, personas), the replay cache, the e2e CLI, reading .e2e/report.json, and bug bashes (parallel explore runs proven with repro tests). Use when a project depends on e2e, when asked for end-to-end, browser, mobile, or agentic UI tests, to bug bash or hunt for bugs, or when an e2e run fails.

e2e-playwright-testing

AsyrafHussin/agent-skills

End-to-end testing with Playwright for web applications. Use when writing E2E tests, browser automation, form submission testing, or user flow testing. Triggers on "playwright", "e2e test", "browser test", "end-to-end", "form flow testing", or test files in tests/e2e/.

e2e-scenario-testing

obra/dotfiles

Use when verifying a running application end-to-end through its real interface — a web UI, a CLI, or a TUI — by writing and executing agent-run "scenario cards" against a freshly built instance with falsifiable assertions. Trigger on "test it end to end", "prove the UI actually works", "write/run a scenario", or after a change touches a user-facing surface that unit tests can't fully cover. Not for unit tests, pure code review, or API-only checks.

e2e-setup

AI-Builder-Club/skills

>

e2e-testing

affaan-m/ECC

Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.

e2e-testing-patterns

wshobson/agents

Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.

e2e-testing-patterns

benjaminasterA/antigravity-awesome-skills

Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky...