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Skills that do not fit the categories above (14.1K skills)

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Detect i18n/locale keys that are removed from source but remain in locale files, or keys added to locale files without source usage.

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s977043/river-review7Updated Oct 28, 2026

Detects long-lived objects (caches, listeners, singletons) that capture an entire enclosing scope via closures/environment capture, keeping large arrays or buffers alive, and proposes copying only the needed fields.

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s977043/river-review7Updated Oct 28, 2026

Review changes to the Agent Skills import/export bridge for path safety, round-trip fidelity, and validation correctness.

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s977043/river-review7Updated Oct 28, 2026

River Review のメインエントリポイント。 レビュー依頼の intent classification → 専門 skill 選択 → 実行 → finding verification → feedback classification → fixture / reference / suppression への還元までを束ねる improvement-loop orchestrator。

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s977043/river-review7Updated Oct 28, 2026

指摘対応の反復(レビューコメント→修正→再レビュー)で、個別には正しい修正の蓄積が当初スコープを逸脱した(scope creep)、または成立済みの前提("動いていた"状態)を破壊した(premise break)連鎖を diff-time で検出する。技術的正しさとスコープ整合性を別軸で評価し、report-only で finding/question のみ出力する。1コメント単位のトリアージ・構造変更後の caller 残骸・plan 前提解消は隣接 skill へ委譲する

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s977043/river-review7Updated Oct 28, 2026

Review JSON/YAML configuration files for common issues and best practices.

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s977043/river-review7Updated Oct 28, 2026

モジュール/スキルの構造変更で当該ファイルは更新したが、caller 側が古い構造(旧参照・旧シグネチャ・旧採番)を参照したまま残るパターンを検出する

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s977043/river-review7Updated Oct 28, 2026

Minimal always-on sample skill to guarantee an end-to-end review experience.

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s977043/river-review7Updated Oct 28, 2026

Processes JSON on the command line with jq. Use when parsing, filtering, or validating JSON from files or APIs.

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AndrewBrown-USDA/aigb-skills-usda7Updated Oct 28, 2026

Create and maintain AGENTS.md files for project onboarding and grounding. Use when initialized in a new project, when project structure changes significantly, or when creating subfolder-level AGENTS.md files for complex monorepos.

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AndrewBrown-USDA/aigb-skills-usda7Updated Oct 28, 2026

Plain language directive. Cuts verbosity, corporate jargon, and overused AI vocabulary. Use when you want clear, direct, short writing. No fluff, no hedging, no unnecessary complexity.

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AndrewBrown-USDA/aigb-skills-usda7Updated Oct 28, 2026

Enforces lean, surgical output. Suppresses conversational fluff and verbose reasoning traces. Use when agent output feels too chatty or repetitive.

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AndrewBrown-USDA/aigb-skills-usda7Updated Oct 28, 2026

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

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AndrewBrown-USDA/aigb-skills-usda7Updated Oct 28, 2026

Coordinate evidence based reconstruction from scans, photos, plans, and measurements into a reviewable Blender architectural model, with photographic appearance, renders and portable browser delivery when requested.

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obra/scan-to-model7Updated Sep 27, 2026

Inspect native RGB, depth, confidence, calibration, and poses to make finite, source traceable reference points and surface measurements.

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obra/scan-to-model7Updated Sep 27, 2026

Preserve and inventory scan archives while retaining capture variants, hashes, calibration, and frame provenance.

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obra/scan-to-model7Updated Sep 27, 2026

Build and review evidence tagged Blender architectural candidates, preserve unrelated scene content, and produce requested photographic materials, stills and portable model deliveries.

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obra/scan-to-model7Updated Sep 27, 2026

Fit and independently validate rigid scan alignment from named, source traceable correspondences.

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obra/scan-to-model7Updated Sep 27, 2026

Use when cataloging or annotating visible construction in photographs or scan RGB, especially before registration or while the base model may be replaced.

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obra/scan-to-model7Updated Sep 27, 2026

Japanese algorithmic and generative art skill covering traditional pattern generation (wagara), calligraphy simulation, zen garden generators, and mathematical patterns from Japanese art. Triggers on requests for 和柄生成, ジェネラティブアート, アルゴリズミックアート, 伝統紋様パターン, Japanese generative art.

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LinkX-Japan/ai-souken-workflows7Updated Mar 12, 2026

Choose animation values that feel native on Apple platforms instead of guessing springs. Use when: picking a spring/duration/easing for any transition; an animation "feels off", sluggish, floaty, wobbly, or cheap; tuning a sheet, drawer, panel, selection lens, button press, or drag release; wiring gesture-driven motion; or someone asks "what spring should I use", "why does this feel wrong", "make it feel native/premium", "match Apple's feel". Also fires on hand-picked magic numbers in .spring(), on animations that jump when interrupted, and on motion that only starts after a gesture ends.

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YordiLorenzo/liquid-glass-skills7Updated Aug 9, 2026

Use skilltap when setting up, inspecting, reconciling, or troubleshooting supported local agent harnesses.

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nklisch/skilltap7Updated Sep 30, 2026

Prepare a precise handoff for unfinished repository work.

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stablyai/orca-workflow-skills7Updated Jul 13, 2026

Front the studio as Manny the Manticore. Use when the user says "Manny", "Manticore", or "talk to Manny".

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bmad-code-org/bmad-manticore7Updated Oct 17, 2026