933 skills · sorted by relevance
Database Architect IA — Expert en conception de bases de données (PostgreSQL, MongoDB, Redis, schema design, migrations). Optimise le stockage et l'accès aux données.
The English summary is being prepared. Showing the original description.
Expert en conception de compilateurs (lexing, parsing, AST, code generation, LLVM, interpreters)
The English summary is being prepared. Showing the original description.
Chatbot Designer IA — Expert en conception de chatbots (Rasa, Botpress, Dialogflow, conversation design, NLU).
The English summary is being prepared. Showing the original description.
API Designer IA — Expert en conception d'APIs (REST, GraphQL, gRPC, OpenAPI, versioning, rate limiting). Crée des APIs intuitives, évolutives et sécurisées.
The English summary is being prepared. Showing the original description.
Turn a look brief and reference images into a finished social clip: concept, TouchDesigner look and palette, ComfyUI stills, a recorded take, a cut in DaVinci Resolve or Remotion, 9:16 and 16:9 exports, publish only after GO. Use for "moodboard to clip", "make a social clip from these references", "look brief to video".
The English summary is being prepared. Showing the original description.
Analyze yesterday's prompts to surface one technical concept worth understanding, delivered as a concise morning lesson with everyday analogy + engineer vocabulary. Use when "morning lesson", "prompt mirror", "today's learning", "what should I learn", or via scheduled automation each morning.
The English summary is being prepared. Showing the original description.
Use when: 'intake this repo/skill', 'evaluate external skill', 'should we adopt X', a candidate repo URL plus an adoption question, or any external skill/workflow/tool surfaces as a possible fit for Agistra. Structured front-door evaluation of external skills, workflows, and similar capability artifacts before any install, promotion, or adaptation decision. Ends in exactly one classification: Install candidate, Adapt concept, or Reject. Never install first — intake first.
The English summary is being prepared. Showing the original description.
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
The English summary is being prepared. Showing the original description.
Music-video production skill for turning an existing MP3 into a pure-visual (no-voiceover) music video through a bundled Busabase App-in-Skill UI. Use when the user wants to build an MV from a song they upload: write a one-line concept, keep a cast of characters with reference cards, and break the song into storyboard shots where each shot has a scene description and an image + video that can be either AI-generated (image-to-image from the character cards, draft video via local LTX) or uploaded by the user. Same character/storyboard management model as kelly-drama. Song generation (creating the song itself, incl. voice-cloned singing) is a documented future capability.
The English summary is being prepared. Showing the original description.
当使用者说"我想写一首关于X的歌"、"这首歌想表达Y"、"帮我想想这首歌写什么"、"疗愈主题的歌该怎么切入"时使用，适用于只有主题词或一句念头、还没定具体处境的时候；处境和字数骨架都已齐、只差句子时改用 adversarial-lyric-writer。动笔写句子之前先定四样东西：这首歌的具体处境（谁、在什么状况、发生了什么变化）、一套只属于同一个世界的意象系统、情绪弧线的起点转折点终点、五条 hook 候选。派 sonnet 子代理并行提三个不同切入角，主 Agent 收敛。只问两个问题：唱给谁、有没有真实的画面可用。不替使用者编经历，不把"疗愈""成长"这类效果词当成主题。
The English summary is being prepared. Showing the original description.
当需求还只是"帮我写个东西""让 AI 做这个任务"这种一句话时使用。用至多 3–5 个高杠杆追问把它补成一份可交付的任务简报——目标、产物、受众、已有素材、约束、验收标准、不做什么、待确认假设，外加一段可直接粘贴的执行 prompt。简报的九个标题保持英文（内容用什么语言都行），字段完整性由 scripts/check_brief.py 校验。产出不绑定任何一家模型，人或 Agent 都能照着执行。不适用于：写歌交给 lyric-concept-builder，复习计划交给 deadline-to-study-plan，建模题交给 modeling-problem-reading-coach，物理题交给 physics-problem-router；使用者坚持直接要成品、一个问题都不肯答时也不用本 skill。
The English summary is being prepared. Showing the original description.
当使用者说"帮我填词"、"按这个字数模板写歌词"、"用多Agent对抗式写词"、"这首副歌帮我想几句"时使用，前提是字数骨架和这首歌写什么都已经有了；只有主题、还没定写什么时先用 lyric-concept-builder。拿一份字数骨架和意象系统，派三个 sonnet 子代理按不同路子并行独立起草（场景派 / 口语派 / 意象派），再派一个红队子代理逐句挑毛病，主 Agent 按句裁决拼稿，最后统一辙口与意象。收敛判据卡死：字数用 lyric-doctor 的脚本对模板数、每段同辙、hook 不含陈词、主歌二对主歌一有推进。不抄现有歌词，不替使用者决定这首歌要说什么。
The English summary is being prepared. Showing the original description.
当问「这条公式怎么来的」「为什么长这样」，或说「帮我推导／推出 X 公式」时使用。从定义或守恒律出发重建标准公式，每一步标出用的是哪条原理、这一步在物理上做了什么；假设写在它真正被用到的那一步，不堆在开头。终式可用 scripts/compare_formula.py 与标准式做符号比对。会被评分的推导：结构与理由可以给，代数由本人做。要逐步核验一份已写好的推导，用 derivation-step-checker。
The English summary is being prepared. Showing the original description.
Teach the user a new skill or concept, within this workspace.
The English summary is being prepared. Showing the original description.
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
The English summary is being prepared. Showing the original description.
Consolidate PostHog error tracking issues that are the same actual error reported under different fingerprints. Use when the user asks "why do I have so many TypeError issues that look the same?", "merge these duplicates", "stop splitting this error into new issues", or wants to clean up fingerprint sprawl. Decides between a one-shot merge of existing issues and a durable grouping rule that keeps future events from creating new fingerprints. Does NOT group conceptually similar bugs across different runtimes, SDKs, or call sites.
The English summary is being prepared. Showing the original description.
Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT), the confounder/mediator/collider distinction, and the principle that no post-hoc correction recovers a fully confounded design. Covers detecting hidden batches with surrogate variable analysis, a decision table for downstream correction (ComBat-seq, RUVSeq, SVA) whose execution is deferred to differential-expression/batch-correction, and reproducibility metadata. Use when assigning samples to sequencing batches/lanes/plates, avoiding batch-condition confounding, deciding whether a design is salvageable by correction, choosing a correction method, or estimating the number of hidden batches. For the experimental unit, randomization, and blocking concepts see experimental-design/randomization-blocking.
The English summary is being prepared. Showing the original description.
TOP PRIORITY skill — find and immediately fix or remove every piece of wrong, outdated, or redundant information in ToolUniverse docs. Wrong code, broken links, incorrect counts, and overlapping instructions must be fixed or removed — never left in place. Runs five phases: (D) static method scan, (C) live code execution, (A) automated validation, (B) ToolUniverse audit, (E) less-is-more simplification. Core philosophy: each concept appears exactly once; remove don't add; no emojis; single setup entry point. Use when reviewing docs, before releases, after API changes, or when asked to audit, fix, or simplify documentation.
The English summary is being prepared. Showing the original description.
Maps metabolomics results to biological pathways via over-representation (ORA), metabolite-set enrichment (MSEA/QEA), mummichog/PSEA on raw m/z peaks, and network-diffusion enrichment (FELLA), with correct background-set construction and honest interpretive ceilings. Use when interpreting differential metabolites or an untargeted LC-MS feature table in pathway context, choosing ORA vs MSEA vs mummichog vs topology, or setting the reference/background set. For annotation confidence levels feeding ORA see metabolomics/metabolite-annotation; for gene-set concepts see pathway-analysis/go-enrichment and pathway-analysis/gsea; for joint gene+metabolite pathways see multi-omics-integration/mofa-integration.
The English summary is being prepared. Showing the original description.
Working Backwards PRFAQ challenge to forge product concepts. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.
The English summary is being prepared. Showing the original description.
Design proof-of-concept frameworks for AI projects. TRIGGERS - Use when user needs help with ai-poc-framework related tasks.
The English summary is being prepared. Showing the original description.
Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT), the confounder/mediator/collider distinction, and the principle that no post-hoc correction recovers a fully confounded design. Covers detecting hidden batches with surrogate variable analysis, a decision table for downstream correction (ComBat-seq, RUVSeq, SVA) whose execution is deferred to differential-expression/batch-correction, and reproducibility metadata. Use when assigning samples to sequencing batches/lanes/plates, avoiding batch-condition confounding, deciding whether a design is salvageable by correction, choosing a correction method, or estimating the number of hidden batches. For the experimental unit, randomization, and blocking concepts see experimental-design/randomization-blocking.
The English summary is being prepared. Showing the original description.
Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.
The English summary is being prepared. Showing the original description.
Gera imagem por IA via Ideogram, Leonardo ou Flux usando os scripts do plugin, ou entrega o prompt otimizado quando não há chave. Use quando o usuário disser "gerar imagem", "criar ilustração", "imagem por IA", "Ideogram", "Leonardo", "Flux", "preciso de uma foto que não temos", ou quando creative-concept marcar um ativo como "gerar". Skill central deste plugin. Toda chamada gasta crédito e exige confirmação prévia.
The English summary is being prepared. Showing the original description.