Agent Skills

bootstrap-realtime-eval

✓★ 74,559

by openai

Bootstrap a new realtime eval folder inside this cookbook repo by choosing the right harness from examples/evals/realtime_evals, scaffolding prompt/tools/data files, generating a useful README, and validating it with smoke, full eval, and test runs. Use when a user wants to start a new crawl, walk, or run realtime eval in this repository.

creating-financial-models

✓★ 46,458

by anthropic

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

java-junit

✓★ 36,202

by github

Get best practices for JUnit 5 unit testing, including data-driven tests

csharp-xunit

✓★ 36,202

by github

Get best practices for XUnit unit testing, including data-driven tests

agentic-eval

✓★ 36,202

by github

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

returns-analysis

✓★ 33,111

by anthropics

Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope".

fixed-income-portfolio

✓★ 33,111

by anthropic

Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01, analyzing cashflow waterfalls, stress testing rate scenarios, or assessing portfolio composition.

bond-relative-value

✓★ 33,111

by anthropic

Perform relative value analysis on bonds by combining pricing, yield curve context, credit spreads, and scenario stress testing. Use when analyzing bond richness/cheapness, computing spread decomposition, comparing bonds, assessing bond value vs curves, or running rate shock scenarios.

m5-onboard

✓★ 31,611

by anthropic

End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".

skill-creator

✓★ 31,611

by anthropic

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

test-coverage-improver

✓★ 27,670

by openai

Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.

code-review

★ 25,749

by langchain-ai

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

hatch-pet

✓★ 23,283

by openai

Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual gen

plugin-creator

✓★ 23,283

by openai

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.

job-post-builder

✓★ 22,378

by anthropics

Builds end-to-end hiring packets — job post, structured interview guide with scoring rubric, and offer letter template — from a hiring brief. Triggers on: "help me hire", "we're hiring for", "write a job post", "job description", "JD", "open role", "create a job ad", "interview questions", "scoring rubric", "draft an offer letter", "send an offer", "make a hiring packet", or any request to recruit for a position. When in doubt, trigger — covers the full hiring workflow from job post through Docu

audit-support

✓★ 22,378

by anthropic

Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.

canva-creator

✓★ 22,378

by anthropics

Takes an approved content brief and executes a campaign end-to-end: builds the posting calendar, generates Canva designs for social posts, drafts caption and email copy, and stages social sends in HubSpot. Canva is used for social posts only (Instagram, Facebook, X, LinkedIn) — email content is drafted as plain text and surfaced inline for the owner to send from their own tool. Every step requires explicit owner approval. Use when the user says "make the content," "generate the posts," "create t

handle-complaint

✓★ 22,378

by anthropics

Handles an incoming customer complaint end-to-end — pulls context, drafts a response, and suggests an operational fix. Accepts optional email or ticket ID argument.

testing-strategy

✓★ 22,378

by anthropic

Design test strategies and test plans. Trigger with "how should we test", "test strategy for", "write tests for", "test plan", "what tests do we need", or when the user needs help with testing approaches, coverage, or test architecture.

product-brainstorming

✓★ 22,378

by anthropic

Brainstorm product ideas, explore problem spaces, and challenge assumptions as a thinking partner. Use when exploring a new opportunity, generating solutions to a product problem, stress-testing an idea, or when a PM needs to think out loud with a sharp sparring partner before converging on a direction.

user-research

✓★ 22,378

by anthropic

Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.

run-campaign

✓★ 22,378

by anthropics

Runs an end-to-end marketing campaign — sales analysis, content brief, Canva assets, HubSpot send. Accepts optional lookback and channel arguments.

omniverse-cad-to-simready

✓★ 4,081

by openai

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.

mixpanelyst

✓★ 4,081

by openai

This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that

sharepoint-powerpoint

✓★ 4,081

by openai

Create, edit, restyle, and review PowerPoint `.pptx` files fetched from SharePoint, with emphasis on style preservation, slide cloning, theme-aware updates, and rendered visual QA. Use when the user wants reliable slide edits that should match an existing deck's design language.

meeting-scheduler

✓★ 4,081

by openai

Handles end-to-end meeting scheduling using the Superhuman Mail MCP server — from finding available times to sending the invite or proposing times via email. Use this skill whenever someone asks to "schedule a meeting with [person]", "find a time to meet", "book a call", "set up a meeting", "when am I free to meet with [person]", "propose times to [person]", "send my availability", "create a meeting invite", "schedule a 1:1", "find overlap in our calendars", "reschedule my meeting with [person]"

chatgpt-app-submission

✓★ 4,081

by openai

Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check findings and outputSchema warnings for submission review.

bulk-qa-answers

✓★ 4,081

by openai

Bulk Q&A Answers skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to answer multiple buyer questions at once, generate AI draft responses from VDR content, produce a Q&A tracker spreadsheet, or build a Q&A management dashboard. Triggers include: "answer the Q&A", "draft responses to buyer questions", "process the question list", "generate Q&A tracker", "answer all questions", "bulk answer", "Q&A management dashboard", "respond to diligence questions", or any req

circleci-builds

✓★ 4,081

by openai

Diagnose and fix failing CircleCI builds quickly and safely. Use when users ask to investigate failed CircleCI jobs, triage flaky pipelines, identify root causes from logs, and implement minimal fixes in configuration, test setup, or build-related code paths.

replay-qa-api

✓★ 4,081

by openai

Use when calling Replay QA's REST API directly from Codex. Covers bearer-token setup, Replay recording prerequisites, project creation from Replay recordings or target URLs, polling, bug retrieval, journeys, test runs, explorations, and fix workflow discipline.