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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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vinvcn/mattpocock-skills-zh-CN

停一下:刚才那条消息没有说清楚——重新表述一遍。

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vinvcn/mattpocock-skills-zh-CN

一个用来打磨计划或设计的持续追问式访谈。

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tradermonty/claude-trading-skills

Select the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline. Use when the user wants to batch-test MT5 bots/EAs, screen robots across all symbols, optimize EA parameters, or move candidate bots to finalists based on profit, drawdown, positive months/years and equity-curve criteria. Runs terminal64.exe headless; Windows + MetaTrader 5 required at run time.

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aabuhijleh/abed-hub

Install and repair the abed-hub tools and skills with the `abed-hub` CLI. Use when a hub command is missing (`gh-attach`, `jira`, `slack`), when a skill is behind the repo it came from, when `unslop` will not invoke, when you need where a config file lives or what is in it, or for "set up abed-hub".

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huangwb8/ChineseResearchLaTeX

当用户需要检索候选论文、建立可审计文献池或为下游证据任务准备候选文献时使用。也适用于 research-literature-review 的检索依赖。

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huangwb8/ChineseResearchLaTeX

发现、筛选并长期归档重要研究论文;当用户要求按主题寻找经典、rising star、社区精选、热点或顶会/顶刊论文时使用。采用分层发现策略,调用 research-literature-search 完成其中的关键词/数据库检索,再由本 skill 负责多渠道汇总、idea-level 价值判断、论文类型分类、跨轮次跟踪和论文库归档。

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huangwb8/ChineseResearchLaTeX

像资深研究者带学生一样解读单篇论文:提炼问题、机制、证据强弱、边界与可迁移启发。用户提供 PDF、arXiv/DOI/出版社链接、本地论文或正文片段并希望理解、批判、复现或学习时使用;不用于论文发现、多论文综述或只改写摘要。

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EvanBacon/serve-sim

Verify serve-sim Duo folding, guest orientation, and model rotation against a local iOS Simulator. Use after changing Duo pose, orientation, or display-selection behavior, or when investigating regressions in those features.

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Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Also use for a video request limited to PSNR or SSIM, to apply the terminal scope response.

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flutter/agent-plugins

Cross-platform file and directory path manipulation, segment splitting, extension extraction, and context conversion using `package:path` and `package:file`. Use when writing, inspecting, joining, splitting, or refactoring file paths, directory names, or extensions, or replacing raw string path operations (`.split('/')`, `'$dir/$file'`, `.endsWith('.ext')`, `.replaceAll('\\', '/')`). Don't use for HTTP network URI routing, database query strings, or non-path string processing.

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stellarlinkco/myclaude

Install Claude skills from GitHub repositories with automated security scanning. Triggers when users want to install skills from a GitHub URL, need to browse available skills in a repository, or want to safely add new skills to their Claude environment.

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nekomangaorg/Neko

Hoists state in Jetpack Compose layouts to keep composables stateless, decoupled, and testable. Use this skill to decouple child composables from ViewModels, replace internal mutableStateOf with hoisted state and event callbacks, expose stateless/stateful composable overloads, enforce unidirectional data flow (UDF), and make components @Preview-friendly.

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EverMind-AI/Raven

Build a PowerPoint .pptx file with python-pptx, on this deployment, without the deck engine. Use when the deliverable is a .pptx on disk: presentation, deck, slides, pitch deck, keynote, report deck, 幻灯片, 演示文稿, 做一份 PPT, 出一个 pptx, 汇报材料. Carries what is specific to this deployment -- which tools exist, which parameters they take, and what the gates refuse -- and nothing a competent author already knows. Pairs with design-editorial-and-presentations, which owns content order and editorial judgement. Not for a deck bound to one of the packaged templates: that route runs on Raven-PPT and uses ppt-script-authoring.

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Use when writing Rust code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

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Use when writing Python code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

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Use when writing Java code with `dev.axllm:ax` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

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Use when writing Go code with `github.com/ax-llm/ax/packages/go` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

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Use when writing C++ code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

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synthetic-sciences/openscience

Convert genomic intervals between coordinate conventions, normalise and compare variant representations, and detect assembly or contig-naming mismatches before they corrupt an analysis. Use whenever coordinates cross a format, tool, or assembly boundary - converting between BED, GFF/GTF, VCF, SAM/BAM, WIG, PSL, genePred, Picard interval_list, or region strings; reconciling 0-based half-open with 1-based inclusive; left-aligning or trimming indels; checking whether two variant records describe the same change; mapping genomic to transcript, CDS, or protein positions; auditing a BED/GTF/VCF for convention violations; or diagnosing GRCh37 vs hg19 vs GRCh38 vs T2T, chr-prefix, and liftover problems. Triggers include "off by one", "0-based", "1-based", "half-open", "coordinate system", "left-align", "normalize variant", "bcftools norm", "chr prefix", "wrong genome build", "liftover", "REF mismatch", and "HGVS".

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synthetic-sciences/openscience

End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and publication figures (scientific-visualization). Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g. "analyze my RNA-seq", "FASTQ to DESeq2", "run nf-core/rnaseq", "STAR/Salmon quantification", "build a counts matrix for DESeq2", or "go from reads to differentially expressed genes and enriched pathways". Routes between an nf-core/rnaseq (Nextflow) path and a standalone STAR/Salmon path, and covers experimental design, strandedness, and QC gates. For single-cell RNA-seq use the scanpy skill instead.

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