本文へ移動
cccskills

「artifact」の検索結果

2,011 件 ・ 関連度順

概要と使いどころ

fablize

無料

A harness that makes Opus (or any Claude model) behave like Fable — it enforces seeing a task through to the end, with evidence and verification, as procedure. Use when starting a multi-step task (2+ sequential stories), long autonomous work, debugging or root-cause investigation, building render/executable artifacts (HTML, SVG, games, charts), or when the user says "fablize", "see it through", "verify as you go", "split into goals".

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Generate developer behavioral profile and create Claude-discoverable artifacts

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。

buildomator/buildomator902026年10月14日 更新

Generate a comprehensive project summary from milestone artifacts for team onboarding and review

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。

buildomator/buildomator902026年10月14日 更新

forensics

無料

Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong

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。

buildomator/buildomator902026年10月14日 更新

Extract decisions, lessons, patterns, and surprises from completed phase artifacts

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。

buildomator/buildomator902026年10月14日 更新

Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — code or documents, one or many — and actually says "review"; an explicit skill:bmad-review directive from another skill counts as that ask. A request to act on feedback from an earlier review is a change, not a review. Never invoke this uninvited, including on edits you just made.

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。

alvin-reyes/better-agentic-ide902026年10月13日 更新

Implement bounded features and fixes in existing or new mini-program codebases while preserving repository rules, user-owned changes, approved behavior, assets, framework conventions, and evidence boundaries. Use when users ask to write or modify mini-program code, implement a confirmed specification or architecture, add a scoped feature, remove behavior semantically, update internal documentation required by a change, or carry out a well-defined small fix that does not require root-cause investigation. Establishes a baseline and change boundary, applies test-driven small steps, distinguishes source from generators and build artifacts, verifies the affected contract, and never reports source completion as device validation, formal acceptance, upload, or 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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

Govern mini-program release readiness and evidence across source branches, semantic versions, build artifacts, test flags, debug paths, sensitive data, permissions, privacy declarations, platform uploads, review submissions, staged versions, production releases, and rollback plans. Use when users ask for a release checklist, packaging, export, version bump, upload readiness, submission readiness, launch status, rollback preparation, or a precise judgment of what has and has not shipped. Defaults to read-only preflight, requires separate explicit authorization for every external state change, and never treats a Git push, successful build, platform upload, review submission, approval, or production publication as interchangeable.

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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

Verify mini-program implementations and fixes with risk-calibrated evidence across static checks, unit tests, integration tests, state matrices, simulators, real devices, cloud environments, and release artifacts. Use when users ask to test, validate, accept, regression-check, quality-check, confirm readiness, or determine whether a mini-program feature is actually complete. Binds results to a source and build fingerprint, records commands and observable evidence, separates passed, failed, blocked, and not-run layers, prioritizes the next highest-information check, and never converts local success into device, cloud, release, or formal acceptance claims.

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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

Perform a read-only, evidence-first intake of an existing mini-program repository before planning or modifying code. Use when users ask to take over, understand, audit, resume, scope, or continue a WeChat or other mini-program project; when project facts may conflict with historical documents; or when an agent needs the framework, rules, Git state, build path, risks, unknowns, protected behavior, and change boundary. Produces a project fact map and handoff without changing code, installing dependencies, building artifacts, or claiming runtime, device, cloud, upload, acceptance, or release status.

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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.

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。

alibaba/opc-starter882026年7月22日 更新

Build, revise, audit, or rebut a research manuscript from Harness Research evidence. Use for paper intake, related-work research, claim and citation control, section architecture, LaTeX patching, figure planning, reviewer response, or final manuscript hardening when the workspace contains Harness research artifacts.

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。

linzhe001/Harness-Research872026年8月9日 更新

analyze

無料

Convert run artifacts into calibrated interpretation and next decisions.

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。

linzhe001/Harness-Research872026年8月9日 更新

Evaluates ambient context artifacts (CLAUDE.md, memory, local skills, settings hooks) for compatibility with swarm governance. Returns a classified report so users can address interference before launching a team.

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。

DheerG/swarms852026年7月23日 更新

Use whenever the user mentions Zenodo, depositing or publishing research artifacts (datasets, software, papers, posters) to Zenodo, minting a DOI for a dataset/code release, uploading files to a Zenodo record, creating a new version of a Zenodo deposit, or searching Zenodo records. Covers the full Zenodo REST API workflow — create deposition, upload files via the bucket API, set metadata, publish, version, and search — for both production (zenodo.org) and sandbox (sandbox.zenodo.org).

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。

Agents365-ai/365-skills842026年10月14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。

AGI4Sci/SciForge822026年9月3日 更新

Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text artifact for authenticity and clarity, or when the user mentions ai writing, ai-generated or robotic writing, text that sounds like AI or ChatGPT, or writing quality. Builds on the docs-style core writing principles.

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。

existential-birds/beagle822026年9月16日 更新

Use when the user wants a cited, structured read of local documents and project knowledge. Triggers on: "analyze these docs", "scan my project for context", "read the docs folder", "summarize what's in .beagle/concepts/", "extract context from docs/", "what's in this folder", "go read everything in X and tell me what's there". Also invoked programmatically by other beagle skills (prfaq-beagle Ignition, brainstorm-beagle reference points, strategy-interview context grounding) via the companion contract. Does NOT trigger on codebase lookups ("find this function", "search the repo"), web research (use web-research), LLM-as-judge evaluation (use llm-judge), or document editing (use humanize-beagle). Produces a written scan plan, parallel-subagent findings, and a cited synthesis report on disk — never inline prose, never unsourced claims.

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。

existential-birds/beagle822026年9月16日 更新

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

juspay/kolu812026年10月15日 更新

pu

無料

Provision and drive a `pu` box — an Incus container used as a clean Linux host for CI, builds, and evidence capture. Use when you need to run something on a fresh remote box instead of the user's machine: `nix run` a build, run CI against a real host, capture screenshots/video off-machine, or reproduce on a pristine environment. Covers create/connect/scp/destroy, running remote commands, copying artifacts back, and the no-egress failure mode. Triggers on "pu box", "spin up a box", "run this on a box", "ephemeral host", "pu create/connect/destroy".

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。

juspay/kolu812026年10月15日 更新

Golden-fixture contract discipline: locations, bless workflow, env vars, volatile-field scrubbing, failure-artifact triage. Use when a golden/snapshot test fails or a new golden fixture is added.

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。

po4yka/RIPDPI802026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。

po4yka/RIPDPI802026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。

j5ik2o/okite-ai802026年4月25日 更新

Link claim-side evidence objects to observation-side evidence objects, score support or contradiction heuristically, and persist a compact claim-observation link artifact for board review and challenge work.

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。

FDU-INS/Insurance-Skills772026年7月12日 更新