注释
代码注释与标注
how
cursor
"Use for \"how does X work\", code walkthroughs before changing something, and placement / ownership / layering questions (\"where should this live\", \"which package owns this\", \"is this the right layer\"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation."
no-comments
cursor
"Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed constraints."
principle-fix-root-causes
cursor
"Apply when debugging. Trace each symptom to its root cause and fix it there; reproduce first, ask why until you reach it, resist nil-check guards that silence crashes."
why
cursor
"Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior."
Poteto Mode
cursor
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
teach
cursor
"Explain a body of work plainly so a person actually understands it. Runs the how and why skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'."
ascii-mini-charts
partme-ai
Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal + annotated variants and normalization notes.
Content Eval
ericosiu
Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation
python
knoopx
Structures Python projects, writes type-hinted code, tests with pytest, and enforces quality with ruff and mypy. Use when setting up pyproject.toml, writing tests, adding type annotations, or formatting/linting code.
x-ray
pashov
"Generates an x-ray.md pre-audit report covering overview, enhanced threat model (protocol-type profiling, git-weighted attack surfaces, temporal risk analysis, composability dependency mapping), invariants, integrations, docs quality, test analysis, and developer/git history. Triggers on 'x-ray', 'audit readiness', 'readiness report', 'pre-audit report', 'prep this protocol', 'protocol prep', 'summarize this protocol'."
sap-abap-cds
secondsky
Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities in ABAP, defining data models with annotations (@AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel), working with associations and cardinality, implementing input parameters, using built-in functions (string, numeric, date/time), writing CASE expressions and conditional logic, implementing access control with DCL (Data Control Language), handling CURR/QUAN data types with reference fields, troubleshooting CDS errors (SD_CDS_ENTITY105), querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud with production-tested patterns. Keywords: ABAP CDS, Core Data Services, CDS view, CDS view entity, define view, define view entity, DDL, Data Definition Language, DCL, Data Control Language, annotations, @AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel, @Metadata, associations, cardinality, TO ONE, TO MANY, path expressions, input parameters, WITH PARAMETERS, built-in functions, CASE expression, CAST, session variables, $session, aggregate functions, GROUP BY, HAVING, joins, INNER JOIN, LEFT OUTER JOIN, access control, DEFINE ROLE, pfcg_auth, authorization, SALV IDA, cl_salv_gui_table_ida, Eclipse ADT, ABAP Development Tools, CDS annotations, Fiori Elements, OData, RAP, ABAP RESTful Application Programming Model, currencyCode, unitOfMeasure, SD_CDS_ENTITY105
sap-fiori-tools
secondsky
Develops SAP Fiori applications using SAP Fiori tools extensions for VS Code and SAP Business Application Studio. Use when: generating Fiori Elements or Freestyle SAPUI5 applications, configuring Page Editor for List Report or Object Page, working with annotations and Service Modeler, setting up deployment to ABAP or Cloud Foundry, creating adaptation projects, using Guided Development, previewing with mock data or live data, configuring SAP Fiori launchpad, or using AI-powered generation with Project Accelerator/Joule. Technologies: SAP Fiori Elements, SAPUI5, OData V2/V4, CAP, SAP BTP, ABAP, Cloud Foundry.
architectural-analysis
pedronauck
Deep architectural audit focused on finding dead code, duplicated functionality, architectural anti-patterns, type confusion, and code smells. Use when user asks for architectural analysis, find dead code, identify duplication, or assess codebase health.
code-walk-thru
pchalasani
Use this when user wants you to walk through (code or text) files in a EDITOR to either explain how some code works, or to show the user what changes you made, etc. You would typically use this repeatedly to show the user your changes or code files one by one, sometimes with specific line-numbers. This way the user is easily able to follow along in their favorite EDITOR as you point at various files possibly at specific line numbers within those files.
cm
Dicklesworthstone
"CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI."
packages-documentation
reactive
Write, update, and format docs for public APIs - API reference, README, docstrings, usage examples, migration guides, deprecation notices
posting-bitwarden-review-comments
bitwarden
Use this skill when posting inline comments to GitHub pull requests. Apply when formatting comments following Bitwarden engineering standards with severity emojis, clear explanations, and actionable suggestions. Use after findings are classified and ready to post. DO NOT USE when posting summary comments.
estimate-jira
ag-grid
Estimate complexity, effort, and risks for JIRA tickets, features, or projects. Generates structured reports with time estimates, dependencies, risk analysis, and known unknowns. Use when user asks to "estimate", "size", or "analyze complexity" of work items.
chart-defaults
ag-grid
'Find the actual runtime default value of any AG Charts configuration option, and keep JSDoc Default: markers accurate. Use when documenting a default, verifying a change has not altered one, writing tests against default behaviour, or auditing whether a TypeScript comment matches the theme template.'
annotations
dropseed
Workflow for adding type annotations to Plain packages. Use this when adding or improving type coverage.
documentation-templates
vudovn
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
geo-database
jaechang-hits
"Query NCBI Gene Expression Omnibus (GEO) for gene expression datasets and sample metadata via GEOparse Python library and E-utilities. Search datasets by keyword/organism/platform, download GSE series matrices, parse GPL platform annotations, extract GSM sample metadata, and load expression matrices into pandas. For single-cell data use cellxgene-census; for programmatic multi-DB access use gget-genomic-databases."
ghidra-rpc
cellebrite-labs
Reverse engineering assistant powered by Ghidra. Use for binary analysis, decompilation, vulnerability research, auditing compiled code, renaming symbols, annotating disassembly, cross-references, or any RE task - even without explicit mention of Ghidra.
anndata-data-structure
jaechang-hits
"Annotated data matrices for single-cell genomics. AnnData stores expression data (X) with observation metadata (obs), variable metadata (var), layers, embeddings (obsm/varm), graphs (obsp/varp), and unstructured data (uns). Use for .h5ad/.zarr file handling, dataset concatenation, and scverse ecosystem integration. For analysis workflows use scanpy; for probabilistic models use scvi-tools."