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cccskills

「step」の検索結果

2,076 件 ・ 関連度順

概要と使いどころ

Suede Labs Google Play delivery skill: ship an Android release end to end from the agent interface, without opening the Play Console. Set up credentials, upload an AAB, promote between tracks, stage or complete a rollout, push per-locale release notes, and prove against the Play Developer API what is actually live. One step stays a Console action by design and the skill hands it to you: granting the service account release access the first time. Use when uploading or promoting an Android build, wiring a Play service account and fastlane supply lanes, fixing per-versionCode changelogs, raising or halting a staged rollout, or answering what version and fraction production is really serving. NOT FOR: planning or building the app itself (use android-app-factory); live listing and keyword audits (use suede-aso); CI required checks (use suede-ci-gate); iOS release (a private Suede Labs companion, not in this pack: ios-app-store-release).

日本語の概要は準備中です。原文の説明を表示しています。

JasonColapietro/suede-creator-skills1272026年10月12日 更新

plan-mode

無料

Structured planning mode for AI agents working on coding and development tasks. Produces a comprehensive plan BEFORE any code is written or changed, including task decomposition, architecture decisions, risk assessment, and approval gates. Use this skill whenever the user says "/plan", "plan mode", "plan first", "think before coding", "make a plan", or asks the agent to plan before executing. Also trigger when the user describes a complex multi-step development task and would clearly benefit from structured planning before implementation — especially for tasks involving new features, refactors, migrations, infrastructure changes, or multi-file edits. When in doubt, plan. A few minutes of planning prevents hours of rework.

日本語の概要は準備中です。原文の説明を表示しています。

espennilsen/pi1222026年10月12日 更新

Fit first-order dynamic models to experimental step response data and extract K (gain) and tau (time constant) parameters.

日本語の概要は準備中です。原文の説明を表示しています。

agentscope-ai/PawBench1182026年8月3日 更新

Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.

日本語の概要は準備中です。原文の説明を表示しています。

agentscope-ai/PawBench1182026年8月3日 更新

Covers the Neo4j Go Driver v6 — driver lifecycle, ExecuteQuery, managed and explicit transactions, session config, error handling, data type mapping, and connection tuning. Use when writing Go code that connects to Neo4j, setting up NewDriver or ExecuteQuery, debugging sessions/transactions/result handling, or working with neo4j-go-driver v5→v6 migration. Triggers on NewDriver, ExecuteQuery, SessionConfig, ManagedTransaction, neo4j-go-driver. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver version migration steps — use neo4j-migration-skill.

日本語の概要は準備中です。原文の説明を表示しています。

neo4j-contrib/neo4j-skills1152026年10月14日 更新

Use when you are about to hand off a change a player can see - the exact steps to look at it running (web game in the browser at two viewports plus a seeded Playwright smoke run for input and console errors; engine games through a headless frame capture), the checklist, and how to report what could not be observed.

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when writing anything that moves, animates, counts down or simulates - per-frame vs fixed-step callbacks per engine, the accumulator loop with interpolation, delta-scaled smoothing, pause and time scale, and determinism.

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when building a 3D web game with three.js, Babylon.js or PlayCanvas - render loop and delta per library, fixed-step physics with Rapier or Havok, explicit dispose of GPU resources, instancing and draw-call budgets, glTF with Draco/meshopt/KTX2, pixel ratio and resize, WebGPU opt-in, React Three Fiber notes, and headless testing.

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when touching multiplayer code - authoritative server, client prediction and reconciliation, interpolation, lockstep and rollback, server-side validation of every RPC per engine (Netcode, Unreal replication, Godot multiplayer, Colyseus, Bevy crates), bandwidth and versioned messages.

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when data crosses a boundary into your code (file, API, warehouse table, upload, model input or output), when a join or cleaning step can change row counts, or when adding pandera, Great Expectations, Pydantic or dbt checks

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when you write the `plan` section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use when a batch (desktop or mobile) release reaches awaiting_verdict or was rolled back - read-only checks that the published artifact really exists and is served, and the exact yank step for a bad tag

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Use before and after calling rollback_release - what a rollback restores per delivery mode, when a schema change makes a code rollback unsafe, how to work and report manual_steps, and what to do when rollback_release refuses

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Master workflow for an implementation task. Use when you pick up any task or bug that changes product code, including a need_revision bounce.

日本語の概要は準備中です。原文の説明を表示しています。

makifbaysal/tasktrooper1132026年10月15日 更新

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

日本語の概要は準備中です。原文の説明を表示しています。

tautcony/ChapterTool1132026年10月14日 更新

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

日本語の概要は準備中です。原文の説明を表示しています。

tautcony/ChapterTool1132026年10月14日 更新

great_cto's own committed aesthetic — the instrument panel. Dark five-step surface ladder, exactly one accent, two faces divided by MEANING (Geist speaks, Geist Mono is machine-truth), tabular numerals, and a dash that is not a nought. Twelve checkable rules measured from packages/board and greatcto.systems, not designed for this file. Use when building or extending any great_cto surface — the board, the site, a report, a share page.

日本語の概要は準備中です。原文の説明を表示しています。

avelikiy/great_cto1032026年10月14日 更新

Shared review framework that every domain reviewer (pci, oracle, gov, edtech, healthcare, mlops, etc.) MUST follow. Defines the output artifact (TM-{slug}.md), mandatory sections, severity scale, verdict format, the workflow scaffold (when-invoked, Step-0 read-inputs, HANDOFF), and the "domain heuristic vs generic check" boundary. Eliminates duplication across the ~30 reviewer prompts.

日本語の概要は準備中です。原文の説明を表示しています。

avelikiy/great_cto1032026年10月14日 更新

fix-solve

無料

Step 3 of debugging: apply minimal fix. One-liner ideal. Verify nothing else broke.

日本語の概要は準備中です。原文の説明を表示しています。

ilang-ai/autocode1032026年10月14日 更新

Break complex tasks into 5-15 ordered steps with time estimates. Dependency order first.

日本語の概要は準備中です。原文の説明を表示しています。

ilang-ai/autocode1032026年10月14日 更新

Step 1 of debugging: observe the symptom carefully before jumping to conclusions.

日本語の概要は準備中です。原文の説明を表示しています。

ilang-ai/autocode1032026年10月14日 更新

Step 2 of debugging: reason about root cause based on observed symptoms.

日本語の概要は準備中です。原文の説明を表示しています。

ilang-ai/autocode1032026年10月14日 更新

Give realistic time and cost estimates for each step. Explain in human terms.

日本語の概要は準備中です。原文の説明を表示しています。

ilang-ai/autocode1032026年10月14日 更新

Start a new prospect's intake, with or without their files in hand — a request naming a new prospect and attaching no documents is a normal starting point, because Step 1 searches the connected tools or asks the advisor to upload. Cleans and normalizes their account files (statements, exports, screenshots) into a consolidated view, then hands back a plain-English prospect summary, a detailed analyst handoff the full proposal gets built from, and a friendly "what to expect" memo, offered as a Gmail draft on approval. Does not produce the proposal, recommend an allocation, or quote fees. Triggers on "prospect intake", "/prospect-intake", "new prospect intake", "clean up [prospect]'s statements", "process [prospect]'s files", "what to expect note for [prospect]" — and on how an advisor raises a new prospect before any file exists: "I met with a potential client/customer", "[name] is interested in becoming a client", "I have a new prospect", "how should I proceed with [name]".

日本語の概要は準備中です。原文の説明を表示しています。

anthropics/claude-for-financial-advisors1022026年9月25日 更新