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Edit gameplay clips (Valorant, CS2, Fortnite, any shooter) into a music-synced highlight montage, frag movie, velocity edit or TikTok/Reels/Shorts "edit" with beat sync, slow motion, speed ramps, kill zooms, transitions, lyric words, cover image; also copy the editing of a reference video ("com a mesma edição desse vídeo"), or fix a rendered edit that stutters ("travado", "quedas de fps"), has choppy slow motion or kills off the beat. Portuguese - "edita um vídeo", "faz um montage", "highlight", "edit pro TikTok", "faz uma capa". Not for plain trimming, joining or converting clips (use ffmpeg).

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直连网络服务攻击链。用于已经识别/枚举的非专门领域服务，从数据库、数据存储、文件/远程访问、基础设施、消息队列、DNS/网络服务、打印机/MFP/NAS/BMC/网络设备等服务入口继续利用到凭据、代码执行、主机控制、横向能力或新的独立身份。由操作者选择具体攻击链；不自动切换模块。

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Use when writing, reviewing, or optimizing CUDA kernels targeting sm_120a (RTX 5090 / Consumer Blackwell, GB202) in the imp inference engine. Triggers on CUDA/PTX kernel code, shared-memory layout, bank conflicts, tensor-core MMA (mxf4nvf4, tf32, 3xTF32/3xFP16), GEMV/GEMM/attention/quantization/GDN-scan kernels, decode tok/s under expected, kernel emitting HMMA instead of mxf4nvf4, occupancy, register pressure, __launch_bounds__, spills, PDL. Pair with `benchmark-cuda` for measurement and `check-degeneration` after hot-path changes.

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PDF / 图片 / 网页高质量解析为 Markdown。三种部署形态全部免费：本地 CLI（开源）、 云 API（注册免费 token + 配额，超额才付费）、网页 flash（零注册，单文件 ≤10MB / ≤20页）。 在中文学术 PDF / 表格 / 公式上识别质量显著高于 pdfplumber。

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Generate game sprites, 8-direction turnarounds, walk-cycle sprite sheets, SVG characters, ASCII art and animated mascots from images or descriptions, with September 2026 providers: Retro Diffusion (pixel art, 8-dir rotation, frame animation, free palette tools), fal genmedia (GPT Image 2.5, Nano Banana 2, Kling 3, Seedance 2.5, Wan 3, Hailuo 03). Deterministic utilities: feet-line frame alignment, palette-preserving Scale2x/3x/4x pixel scaler, atlas manifest v2 with states/fps/loop/anchor, Aseprite JSON, pipeline profiles. Triggers on sprite, pixel art, sprite sheet, spritesheet, turnaround, 8-direction, walk cycle, atlas manifest, frame alignment, pixel scaler, Retro Diffusion, genmedia, SVG character, ASCII art, mascot, game asset, sprite pipeline profile.

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Cheminformatics toolkit for fine-grained molecular control. Parse and write SMILES, SDF, MOL and InChI; compute descriptors (MW, LogP, TPSA, QED, Bertz); build fingerprints (Morgan/ECFP, RDKit, MACCS, atom pair, torsion) and score Tanimoto, Dice or cosine similarity; run SMARTS substructure search and reaction SMARTS; generate 2D depictions and ETKDG 3D conformers; extract Murcko scaffolds and canonical hashes; control sanitization and stereochemistry directly. Also trigger on rdkit, Chem.MolFromSmiles, rdFingerprintGenerator, SDMolSupplier, SMARTS query, ETKDG, or FilterCatalog. For standard workflows with a simpler interface use the datamol skill, which wraps RDKit; use rdkit for advanced control, custom sanitization, and specialized algorithms.

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Pythonic wrapper around RDKit with a simplified interface and sensible defaults. Preferred for standard drug discovery work — SMILES/SELFIES/InChI conversion, molecule standardization and sanitization, descriptors, ECFP and other fingerprints, Tanimoto distance matrices, Butina clustering and diverse subset picking, Bemis-Murcko scaffolds and scaffold splits, BRICS/RECAP fragmentation, 3D conformer generation, SDF/CSV/Excel and cloud I/O, and parallel processing via n_jobs. Returns native rdkit.Chem.Mol objects, so it composes with RDKit throughout. Also trigger on datamol, `import datamol as dm`, dm.to_mol, dm.standardize_mol, dm.cluster_mols, or dm.pick_diverse. For advanced control or custom parameters, use the rdkit skill directly.

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Use when a proof needs Isabelle/HOL, its Sledgehammer automation, or an AFP session. Not for Lean 4: use writing-lean-proofs.

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对 DiT（扩散/多模态生成）模型执行 W8A8 动态（data-free）或 W8A8 MXFP8（data-free）量化。覆盖 HunyuanVideo、Wan2.2-T2V/I2V/TI2V、FLUX.1-dev（已迁移）、SD3、Sana、HunyuanDiT、CogViewX 等。YAML apiversion 固定 multimodal_sd_modelslim_v1，统一 MultimodalPipelineInterface 重构路径（不再保留 LegacyMultimodalPipelineInterface）。模板与字段以 msmodelslim/model/hunyuan_video/model_adapter.py（唯一已迁移到重构路径且 lab_practice YAML 已 validated 的 DiT）为参考；其它 DiT 需按各自推理仓的 `parse_args` 调整字段集合。data-free 指不引入外部激活校准数据，spec.dataset（校准集短名，短名如 wan2_2_t2v；enable_dump: false 时不参与 dump）仍必填；精度调优通过下游经验库 L2 §7 + 直接调 `quantization-expert-experience-tuning-rules/scripts/apply_rollback.py`（整层回退）扩展 exclude 列表，闭环由 `quantization-accuracy-tuning-orchestrator` 调度。

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Append a DiT-tuning round to history.yaml. DiT-side counterpart of the LLM-path accuracy_append.py; records practice.md5, inference_outputs, fp_baseline_outputs, and the scoring fields (scores / overall_score / loss_vs_baseline / is_satisfied) populated by quant-tuning-score-dit. Idempotent on practice_id.

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为 msModelSlim 适配流程注入反量化能力。先识别模型权重是否可反量化，再实现反量化脚本并接入 model_adapter。当前仅覆盖 FP8 的 per-block 与 per-channel 两类；若格式不确定或无公开反量化规则，要求用户提供反量化脚本或浮点权重。

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제안서 스크립트 작성 스킬 (v5.0 SPARK-6). RFP 분석 + 리서치 결과를 바탕으로 전체 제안서의 슬라이드별 텍스트 스크립트(proposal_script.md)를 작성합니다. SPARK-6 프레임워크, Win Theme, Action Title, S-E-P 설득 구조, KPI 산출근거, 시각 의도, 20종 패턴 라이브러리를 포함합니다. 트리거: 스크립트 작성, 콘텐츠 기획, Win Theme, Action Title, S-E-P, KPI, SPARK-6, Part, 제안서 설계, 전략 수립, proposal_script

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PM (총괄) 오케스트레이터 v9.0. 제안서 팀을 이끌어 8-Step 파이프라인을 실행합니다. 입찰 제안서(RFP) + 마케팅 제안서 + 캠페인 브레인스토밍 지원. Step 0 출력 형식 분기 + 4개 병렬 리서치 + 7개 전문 QA. 트리거: 제안서 생성, 제안서 제작, /p, /start, /pf, generate, 스크립트 작성

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리서치 에이전트. RFP 분석 결과를 기반으로 시장 환경, 경쟁/벤치마킹, 타겟 인사이트, Best Practice, KPI 벤치마크 5대 영역을 웹 리서치하여 research_brief.md를 생성합니다. Planner가 Evidence에 실제 데이터를 사용할 수 있도록 지원합니다. 트리거: 리서치, 시장조사, 트렌드, 벤치마킹, research, 시장 분석, 경쟁 분석

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Agent-native design engine that makes AI do more useful work: route the prompt, fork a template, weave IFQ ambient craft, verify the artifact, and only install export tooling when requested. One prompt -> shippable HTML, with optional MP4 / GIF / PPTX / PDF / SVG. Triggers include prototype, hi-fi mockup, slide deck, motion demo, infographic, dashboard, whitepaper, changelog, business card, social cover, brand from scratch, design critique, mp4/gif export, 60fps, keynote, PPTX, A-vs-B benchmark. Do not use for production web apps, SEO-critical sites, backend systems, or pure copy edits.

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Build and maintain a rolling financial forecast using a 12–18 month horizon. Lock actuals, reforecast remaining periods, extend the planning window, and generate a waterfall bridge showing prior-to-new variance. Use monthly or quarterly when the organization follows a continuous planning cadence instead of annual budgets.

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Analyze budget-versus-actual or forecast-versus-actual performance and turn finance data into a management-ready narrative using variance logic, drivers, cash impact, and forward actions. Use when finance, FP&A, or business leaders need commentary, management accounts, or performance explanation. Do not use for bookkeeping entries, tax filing preparation, or legal accounting sign-off.

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Measure CI churn cost for a pull request: how many commits and how many CI-compute seconds were burned on avoidable "fix the CI" push rounds. Use when you want to understand the efficiency cost of a PR's iteration cycle, get actionable pre-push check suggestions, or include a churn summary in a pipeline report. Triggers: "ci churn", "how much CI did we burn", "avoidable commits", "ci efficiency", "wasted CI time", "churn report", "/ci-churn". Called automatically by /fp-drift at pipeline close.

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Use when a task needs the judgment of a Cost Estimator — building a conceptual (Class 5) budget from a napkin sketch, developing a hard-bid estimate from complete construction documents, leveling subcontractor bids before award, making a bid/no-bid call on an RFP, or reconciling a design-development estimate against an owner's target budget.

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Use when a task needs the judgment of a Brownfield Redevelopment Specialist and Site Manager — confirming landowner liability protections (BFPP/AAI) before a contaminated-site acquisition closes, matching a cleanup standard to the actual reuse plan instead of defaulting to the most conservative one, sequencing a brownfield funding stack (EPA grants, state VCP, tax credits) by eligibility dependency, or deciding whether an institutional control/deed restriction needs disclosure to a lender or buyer.

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Execute ENCODE RNA-seq pipeline from FASTQ to gene quantification and signal tracks. Child of pipeline-guide. Provides Nextflow execution with Docker and cloud deployment. Use when processing RNA-seq data with STAR alignment, RSEM/Kallisto quantification, or generating expression matrices. Trigger on: RNA-seq pipeline, gene expression, STAR alignment, RSEM quantification, transcript quantification, TPM, FPKM, RNA processing, run RNA-seq.

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Xilinx/AMD Vivado FPGA build workflow -- batch-mode TCL scripting, ADI HDL reference design integration, Zynq-7000/MPSoC block design, IP builds, synthesis, implementation, and bitstream generation. Use for any Zynq or UltraScale+ design that incorporates ADI transceivers or follows the ADI HDL reference design pattern.

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Vivado and FPGA workflow guidance. Load the canonical Circuit Weaver skill from `skills/vivado/SKILL.md`.

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Analyze budget allocation systems for departmental budgeting, variance analysis, rolling forecasts, zero-based budgeting, and capital allocation using FP&A frameworks and driver-based planning methodologies..

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