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cccskills

'structural' 검색 결과

568건 · 관련도순

End-to-end finite element analysis in MATLAB PDE Toolbox — geometry creation, model setup, solve, and post-processing in one skill. Use when building geometry from primitives or file import, setting up femodel with BCs/loads/materials, solving thermal/structural/EM problems, and extracting or visualizing results. Covers fegeometry, multicuboid, multicylinder, multisphere, decsg, boolean ops, mesh generation, femodel, all AnalysisTypes (thermalSteady, thermalTransient, structuralStatic, structuralTransient, structuralModal, structuralFrequency, electrostatic, magnetostatic, dcConduction, harmonic EM), materialProperties, faceBC, faceLoad, cellLoad, vertexLoad, solve, interpolation, von Mises stress, principal stress, reaction forces, heat flux, pdeplot3D visualization. Triggers on: PDE Toolbox, finite element, FEA, thermal analysis, structural analysis, electromagnetic analysis, femodel, mesh, boundary conditions, stress, displacement, heat transfer, post-processing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

matlab/matlab-agentic-toolkit1.2천2026년 10월 14일 업데이트

Analyze code structure with Trailmark to identify complex functions, trace input flow, assess impact across connected code, and locate privilege boundaries. The resulting JSON provides detailed evidence for deciding where to focus a code audit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Prioritizing code audit targets
  • Tracing input flow and assessing impact
  • Inspecting unresolved calls and type references
trailofbits/skills7.6천2026년 10월 16일 업데이트

Get a quick structural overview of a codebase with Trailmark. The skill identifies programming languages, counts entry points where execution begins, and returns dependency information to support orientation before deeper analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Getting oriented in an unfamiliar codebase
  • Checking languages and entry point counts before analysis
  • Preparing a structural overview for Vivisect or Galvanize
trailofbits/skills7.6천2026년 10월 16일 업데이트

This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on "structural model", "moment conditions", "NFXP", "MPEC", "BLP", "random coefficients", "dynamic discrete choice", "CCP", "Rust model", "auction estimation", "GMM objective", "inner loop", "contraction mapping", or convergence/starting value problems in optimization-based estimation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Auto-Empirical-Research-Skills4.7천2026년 10월 15일 업데이트

Think and work like an expert Cryo-EM Structural Biologist. Use when a task calls for Cryo-EM Structural Biologist judgment. Reasons from vitrified specimens, CTF-modulated projections, particle heterogeneity, FSC validation, local resolution, preferred orientation, and map-model fit before making structural claims.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

K-Dense-AI/scientific-agents2182026년 10월 3일 업데이트

Expert-level structural engineering covering structural analysis, steel and concrete design, load combinations, deflection, connections, and building codes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

luokai0/ai-agent-skills-by-luo-kai132026년 5월 6일 업데이트

codehealth-mcp

무료요약 있음AI 평가 100점

CodeScene MCP로 코드 구조의 유지보수성을 평가합니다. 수정 전후 점수를 비교하고 커밋이나 PR 전에 AI의 변경으로 품질이 낮아졌는지 확인합니다.

  • 낯선 파일을 수정하기 전에 확인합니다
  • AI 변경 후 유지보수성을 확인합니다
  • 리팩터링 중 점수를 비교합니다
affaan-m/ECC28.4만2026년 10월 16일 업데이트

Compare a saved repository audit with a fresh audit in one command. Receive a structured report showing structural similarity, with an alert and exit code when similarity falls below your chosen threshold.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Check structural changes after a weekly audit
  • Compare the repository with an audit at least seven days old
  • Use drift detection results in CI checks
ruvnet/ruflo7.7만2026년 10월 19일 업데이트

Prepare and run molecular dynamics simulations with OpenMM, then analyze molecular motion with MDAnalysis. Examine protein flexibility, structural changes, and protein–ligand contacts through calculations and plots of simulated trajectories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Investigating protein stability after a mutation
  • Measuring structural changes and flexibility
  • Tracking protein–ligand contacts
K-Dense-AI/scientific-agent-skills5.3만2026년 10월 16일 업데이트

Review skill and agent definitions for structural issues and whether their instructions meet expected behavior. Four modes cover structure, test specifications, category criteria, and coverage reports that reveal missing specifications or checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Check one skill or all skills for structural issues
  • Compare skill or agent instructions with a test specification
  • Review definitions against category criteria
Donchitos/Claude-Code-Game-Studios2.7만2026년 10월 8일 업데이트

Compares code relationships before and after a branch, pull request, or release change using Trailmark. Flags structural security regressions, such as removed authorization checks or newly reachable sensitive operations, and provides evidence for reviewers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking structural security changes before merging a PR
  • Reviewing call paths after a security fix
  • Assessing attack surface changes in a release
trailofbits/skills7.6천2026년 10월 16일 업데이트

Performs 3D structural searches of proteins against various databases (PDB, AlphaFold, CATH, MGnify, etc.) using the Foldseek API. Use ONLY when the user provides a physical 3D coordinate file (.cif, .mmcif, or .pdb) and wants to find structurally similar proteins. Do NOT use if the user only provides a protein sequence, gene name, or UniProt ID.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

google-deepmind/science-skills3.3천2026년 10월 15일 업데이트

Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coordinates when sequence identity is below the twilight zone or remote-homology detection is required. Use when sequence MSA fails (<25% identity), when the dark proteome is the target, when AlphaFoldDB / ESM Atlas search is needed, or when structural superposition is the goal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

GPTomics/bioSkills1.2천2026년 8월 15일 업데이트

Run a structural-review debate between two lenses — lowy (volatility-based decomposition) and hickey (structural simplicity) — on the current diff. Each reviews independently, then they cross-examine every finding until they agree per-finding, and the agreed fixes are applied. Use when the user types `/lens-debate`, or asks to "have lowy and hickey review this", "run the lens debate", "debate this diff structurally", or "argue the structure of this PR until the lenses agree".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

srid/emanote9662026년 7월 26일 업데이트

hickey

무료

Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review isn't feasible. Also use when the user asks about complecting, simplicity vs. easiness, structural coupling, or concept deduplication. Trigger on phrases like "is this simple", "does this complect", "review for complexity", "structural analysis", or any reference to Hickey, Simple Made Easy, or grey-box review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

srid/emanote9662026년 7월 26일 업데이트

Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest tightened"), vague allusions instead of named references, unbroken linear structure, and shape convergence across pieces. Grounded in the StoryScope study (Russell et al. 2026): narrative structure alone detects AI text at 93.2% F1, and professional stylistic rewriting moved detection only 1.6 points. Use as the SECOND pass after the humanizer skill (which handles words and phrasing) whenever writing or revising LinkedIn posts, course lessons, blog posts, essays, newsletters, or emails that must read as human. Triggers: "humanize", "de-slop", "AI tells", "make this sound human", "structural pass", "deep humanize".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NulightJens/humanizer-stack3692026년 7월 25일 업데이트

hickey

무료

Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review isn't feasible. Also use when the user asks about complecting, simplicity vs. easiness, structural coupling, or concept deduplication. Trigger on phrases like "is this simple", "does this complect", "review for complexity", "structural analysis", or any reference to Hickey, Simple Made Easy, or grey-box review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

srid/haskell-flake2412026년 10월 18일 업데이트

hickey

무료

Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review isn't feasible. Also use when the user asks about complecting, simplicity vs. easiness, structural coupling, or concept deduplication. Trigger on phrases like "is this simple", "does this complect", "review for complexity", "structural analysis", or any reference to Hickey, Simple Made Easy, or grey-box review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

srid/drishti282026년 10월 16일 업데이트

hickey

무료

Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review isn't feasible. Also use when the user asks about complecting, simplicity vs. easiness, structural coupling, or concept deduplication. Trigger on phrases like "is this simple", "does this complect", "review for complexity", "structural analysis", or any reference to Hickey, Simple Made Easy, or grey-box review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

juspay/vira202026년 5월 15일 업데이트

Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coordinates when sequence identity is below the twilight zone or remote-homology detection is required. Use when sequence MSA fails (<25% identity), when the dark proteome is the target, when AlphaFoldDB / ESM Atlas search is needed, or when structural superposition is the goal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

lilinji/GeneTind-Life-Skills152026년 8월 21일 업데이트

リファクタリング(構造変更)と機能変更(behavior change)が同一 diff に混在していないかを識別し、structural change に対する external behavior preservation の証拠(テスト・型・静的解析)が揃っているかを diff-time で確認する。証拠不足のときは Characterization Test 追加を促すか question とする。DTO/公開 API の破壊的変更検出は api-compatibility、完了主張の反証や抽出リファクタの性能特性退行は refactor-claim-audit、新知識の命名・責務・境界への反映は knowledge-to-code-alignment、投機的抽象化・スコープ逸脱は altitude-generalization / fix-scope-integrity へ委譲する

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

s977043/river-review72026년 10월 20일 업데이트

Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coordinates when sequence identity is below the twilight zone or remote-homology detection is required. Use when sequence MSA fails (<25% identity), when the dark proteome is the target, when AlphaFoldDB / ESM Atlas search is needed, or when structural superposition is the goal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

peacezha/TRACE32026년 10월 18일 업데이트

Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coordinates when sequence identity is below the twilight zone or remote-homology detection is required. Use when sequence MSA fails (<25% identity), when the dark proteome is the target, when AlphaFoldDB / ESM Atlas search is needed, or when structural superposition is the goal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

peacezha/HPClaw32026년 10월 11일 업데이트

Restructure code through extraction, consolidation, or responsibility moves while preserving its behavior. Establish checks before editing, repeat them afterward, and keep intermediate versions buildable and testable without mixing in feature changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Extracting code while preserving behavior
  • Consolidating duplicate processing
  • Moving responsibilities between modules
JuliusBrussee/caveman11.4만2026년 10월 18일 업데이트