Coding & Dev Tools

matlantis Skill

分子動力学(MD)シミュレーションを扱うスキルです。 Langevin, VelocityVerlet, NVTBerendsen, NPTBerendsen, NVE, NVT, NPT, MaxwellBoltzmannDistribution, thermalize_momenta, exact_temperature, MDLogger, timestep, friction, temperature_K, MDFeature, MDFeatureResult, ASEMDSystem, LangevinIntegrator, NPTIntegrator, チェックポイント, checkpoint, PostMDDiffusionFeature, PostMDSpecificHeatFeature, PostEMDViscosityFeature, PostNEMDViscosityFeature, PostNEMDThermalConductivityFeature, PLUMED, メタダイナミクス, metadynamics, FES, collective variable, 熱分解, pyrolysis, get_mol_list, フラグメント解析, fragment analysis, DepositionScheduler, ApplyUniformEfield, ElasticVirtualWall, Matlantis-LAMMPS, LAMMPS, OpenMM, pair_style pfp_api, 分子動力学, MD, 拡散係数, 粘度, 熱伝導率 に関するコード生成時に使用してください。

matlantis Skill

構造モデリングを扱うスキルです。表面(slab)切り出し、分子生成、原子置換、複雑系構造の構築を包括します。 generate_all_slabs, pymatgen, get_orthogonal_c_slab, miller_index, fcc111, slab, SMILES, RDKit, Chem.MolFromSmiles, EmbedMolecule, 分子生成, 原子置換, ドーピング, substitute, LiquidGenerator, EMC, ポリマー, 液体, アモルファス, HEA, 高エントロピー合金, PartialOccupancy, wrap_molecule, get_mol_list, CollisionDetector, 衝突検出, FixAtoms, 拘束条件, 表面モデル, 真空層 に関するコード生成時に使用してください。

matlantis Skill

反応経路探索・遷移状態探索を扱うスキルです。 NEB, Nudged Elastic Band, NEBFeature, NEBTools, climbing image, CI-NEB, ReactionStringFeature, fmax_rp, fmax_ts, fmax_rd, fmax_eq, RestScanFeature, ScanDistance, ScanDihedral, NEBFeatureResult, ReactionStringFeatureResult, RestScanFeatureResult, plot_energy, energy_log, get_images, num_segments, transition_state_indices, modify_trajectory_by_mic, 原子マッピング, atom mapping, 反応経路, reaction path, 遷移状態, transition state, 活性化エネルギー, activation energy, エネルギー障壁, energy barrier, IDPP, allow_shared_calculator, Sella, TS最適化, TS optimization, 鞍点, saddle point, 虚振動, imaginary frequency, 反応プロファイル, reaction profile に関するコード生成時に使用してください。

matlantis Skill

表面への分子吸着を扱うスキルです。 吸着エネルギー, adsorption energy, 吸着構造, adsorption structure, 吸着サイト探索, adsorption site search, add_adsorbate, ontop, bridge, fcc, hcp, 吸着サイト, slab+molecule, FixAtoms, 下層固定, D3分散補正, pbe_plus_d3, Optuna, ブラックボックス最適化, 被覆率, coverage に関するコード生成時に使用してください。

matlantis Skill

ASE (Atomic Simulation Environment) の基礎操作を扱うスキルです。 Atoms オブジェクトの生成・編集、ase.build.molecule, ase.build.bulk, repeat, supercell, PBC (periodic boundary conditions), cell, positions, get_chemical_formula, get_distance, translate, center, 分子と結晶の違い、構造ファイルの読み書き(ase.io.read/write) に関するコード生成時に使用してください。

matlantis Skill

構造最適化（構造緩和）を扱うスキルです。 LBFGS, LBFGSLineSearch, BFGS, BFGSLineSearch, QuasiNewton, FIRE, FIRE2, ABC-FIRE, GoodOldQuasiNewton, CellAwareBFGS, RFO, GPMin, MDMin, PreconLBFGS, PreconFIRE, SciPyFminBFGS, SciPyFminCG, BasinHopping, MinimaHopping, fmax, 構造最適化, 構造緩和, geometry optimization, FrechetCellFilter, ExpCellFilter, UnitCellASEFilter, セル最適化, cell optimization, FixSymmetry, 対称性保持, maxstep, ASEOptFeature, BFGSASEOptFeature, BFGSLineSearchASEOptFeature, LBFGSASEOptFeature, LBFGSLineSearchASEOptFeature, FireASEOptFeature, FireLBFGSASEOptFeature, MDMinASEOptFeature, filter=True, 多段階最適化, 収束基準, trajectory, preconditioned optimizer, グローバル最適化, global optimization に関するコード生成時に使用してください。

matlantis Skill

原子構造とトラジェクトリの可視化を扱うスキルです。 view_ngl, show_gui, AddEditor, pfcc_extras, nglview, show_ase, show_asetraj, ase.visualize.view, POV-Ray, 可視化, visualization, 構造確認, 目視チェック, trajectory 表示 に関するコード生成時に使用してください。

matlantis Skill

バックグラウンドジョブの実行・管理を扱うスキルです。 mtl-bg-job, background job, バックグラウンドジョブ, 長時間計算, チェックポイント, checkpoint, キュー管理, queue, Notebook分離実行, ブラウザ閉じても計算継続 に関するコード生成時に使用してください。

matlantis Skill

物性計算とMD後処理を扱うスキルです。 ElasticTensorFeature, PostElasticPropertiesFeature, 弾性定数, elastic, Young率, バルク弾性率, ForceConstantFeature, PostPhononBandFeature, PostPhononDOSFeature, PostPhononThermochemistryFeature, フォノン, phonon, 力定数, QHA, 準調和近似, VibrationFeature, 振動解析, PostMDDiffusionFeature, 拡散係数, MSD, 平均二乗変位, PostEMDViscosityFeature, PostNEMDViscosityFeature, 粘度, Green-Kubo, PostNEMDThermalConductivityFeature, 熱伝導率, PostMDSpecificHeatFeature, 比熱, PostMDThermalExpansionFeature, 熱膨張, GasStandardFormationEnthalpyFeature, PostVibrationGasThermoFeature, ガス熱化学, RDF, 動径分布関数, 振動状態密度 に関するコード生成時に使用してください。

novoads Bundle

Updates this skill pack from upstream, and owns the consent that decides whether it ever updates on its own. Checks whether the clone is behind, asks the user — update now, always keep me up to date, not now, or never ask again — and carries out the answer: applies the update through ./scripts/update.sh, records the consent flag the SessionStart hook already reads, snoozes on an escalating ladder, or turns the check off for good. Summarizes what changed between the two commits from the CHANGELOG. Use when the user asks to update or upgrade the pack, get the latest skills or the newest version, when the session banner reports that updates are available, when they ask whether their clone is current, when they want unattended updates switched on or off, or when they want to stop being asked. It never applies an update without an answer, and notify-only is the default.

novoads Bundle

Lays a music bed under a finished video — the music is trimmed and faded to the video's exact length and ducks beneath the voice, while the video stream is copied untouched. Use when the user asks to add music, add a background track, add a music bed or soundtrack, or asks for something like "make a lofi mix of this": "put music under this ad", "add a background track", "give me a couple of music versions". Entered from a finished cut — captions already burned is the preferred input, not a problem. It never edits the picture and never changes the video's length.

novoads Bundle

Overlays silent b-roll cutaway clips onto a finished base video — the base audio keeps running underneath while the picture cuts away and returns, and the final duration always equals the base duration. Use when the user asks to add b-roll, add cutaways, or overlay clips on a video: "add b-roll to this", "cut away to a product shot here", "overlay these clips on my UGC ad". Entered from an approved base video plus its transcript, which comes from POST /v1/transcripts and needs no local install; it never generates the base itself and it never extends a video.

rogerchappel Bundle

Skill Permission Matrix

rogerchappel Skill

Draft Only Follow-up

rogerchappel Skill

Incomplete Skill

rogerchappel Skill

External Write Connector

rogerchappel Skill

Multiple Actions

rogerchappel Skill

Scoped Approvals

rogerchappel Skill

Unrelated Approval

rogerchappel Skill

Common prohibitions

rogerchappel Skill

Partially Approved Alternatives

rogerchappel Skill

Partially Approved Action List

rogerchappel Skill

Partially Approved Coordinated Actions

ysyecust Skill

X、LinkedIn、TikTok、YouTube、ニュースレター、マルチプラットフォームキャンペーンのプラットフォームネイティブなコンテンツシステムを作成します。ソーシャル投稿、スレッド、スクリプト、コンテンツカレンダー、または1つのソースアセットを複数プラットフォームにきれいに適応したい場合に使用します。

sarveshtalele Bundle

Turn a plain feature description into a structured specification (spec.md): overview, user stories, functional and non-functional requirements, and testable acceptance criteria. Trigger on: write a spec, specify this feature, create requirements, spec-driven development, SDD specify.

sarveshtalele Bundle

Generate a project constitution for spec-driven development: the guiding principles, quality bars, and constraints every later artifact must respect. Trigger on: project constitution, engineering principles, ground rules, SDD setup.

nicolasmelo1 Bundle

A bare-minimum Logion course example. Use as a starting template when authoring a new skill that needs no tools, no network, no filesystem writes, and no env vars. Demonstrates the smallest valid SKILL.md plus capabilities.yaml pairing.

nicolasmelo1 Bundle

Bundled Gmail CLI example demonstrating the scripts/ entrypoint + src/ implementation split. Use as a template when your course ships real code that goes beyond a single shell script. Shows how to organize a course bundle that owns its codebase — no runtime package installation, all dependencies stdlib-only. Replaces the "tell the user to npm install my CLI" anti-pattern.

nicolasmelo1 Bundle

Logion course example that bundles a runnable script and a reference doc. Use as a starting template when your skill executes a small subprocess (terminal tool) and produces output files. Demonstrates progressive disclosure across SKILL.md, references/, and scripts/.

nicolasmelo1 Bundle

Clean Course

sentenz Skill

Creates and maintains Architecture Decision Records (ADRs) following a structured format with State, Context, Decision, Considered, Consequences, Implementation, and References sections. Supports single-option decisions, multi-option decisions within one decision scope, multiple complementary decisions, and deferred decisions. Use when creating, updating, or reviewing architectural decisions, or when the user mentions ADR, architecture decisions, technical decisions, or design records.

sentenz Skill

Automates fuzz test creation for Go projects using Go's native fuzzing engine with consistent software testing patterns. Use when creating fuzz tests, mutation testing, or when the user mentions fuzzing, coverage-guided testing, or property-based testing.

sentenz Skill

Automates unit test creation for Go projects using the standard testing package with consistent software testing patterns including In-Got-Want, Table-Driven Testing, and AAA patterns. Use when creating, modifying, or reviewing unit tests, or when the user mentions unit tests, test coverage, or Go testing.

sentenz Skill

Automates fuzz test creation for C++ projects using Google FuzzTest with consistent software testing patterns. Use when creating fuzz tests, mutation testing, or when the user mentions fuzzing, AFL, or coverage-guided testing.

sentenz Skill

Automates mock test creation for C++ projects using Google Mock (GMock) framework with consistent software testing patterns. Use when creating tests with mocked dependencies, interface mocking, behavior verification, or when the user mentions mocks, stubs, fakes, or GMock.

sentenz Skill

Automates unit test creation for C++ projects using GoogleTest (GTest) framework with consistent software testing patterns including In-Got-Want, Table-Driven Testing, and AAA patterns. Use when creating, modifying, or reviewing unit tests, or when the user mentions unit tests, test coverage, or GTest.