「merge」の検索結果

Turns a raw Qualtrics conjoint export into an analysis-ready long-format dataset, covering export settings, identifying the implementation, package or manual wide-to-long reshaping, choice-profile alignment, ratings, reference categories, pilot exclusion, and subgroup merges. Use when the user has a conjoint CSV to clean, reshape, or debug, cannot align choices with profiles, or asks what the data must look like before AMCE estimation. Design goes to conjoint-design, validity review to conjoint-diagnostics.

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。

Publish the octop-gateway Python package: cut a release branch from develop, bump version, update CHANGELOG / README, open a PR to main; after merge, Actions tag on main (PyPI + GitHub Release) and sync main into develop. Use when the user asks to publish, release, bump version, cut a release, or run /publish.

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。

Git Context Controller (GCC) v2 — Lean agent memory backed by real git. Stores hash + intent + optional decision notes instead of verbose markdown. Auto-bridges to aiyoucli vector memory when available. Dual mode: git-backed (lean index.yaml) or standalone (markdown fallback). Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.

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。

Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.

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。

Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transferability analysis required. Captures agent set evolution (Aₙ tracking), meta-agent evolution (Mₙ tracking), specialization decisions (when/why to create specialized agents), and reusability assessment (universal vs domain-specific vs task-specific). Enables systematic cross-experiment learning and optimized M₀ evolution. 2-3 hours overhead per experiment.

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。

Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quality gates pass.

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。

Use when launching Clownfish in GitHub Actions to create or update one guarded GitHub implementation PR from issue/PR refs, a ClawSweeper report, a custom maintainer prompt, or opt any PR into ClawSweeper-reviewed Clownfish automerge.

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。

Orchestrate a broad Incan review using specialized reviewer roles, parallel slice reports, and a canonical merged review report. Use when the user asks for delegated review, multi-agent review, or when a broad dirty worktree should be reviewed by specialized passes rather than one generic reviewer.

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。

Generate customer-focused marketing content from recent git changes, commits, merged pull requests, and shipped features. Use when the user invokes /diff-marketing or /marketing, or asks for blog posts, tweets, changelogs, or emails about what shipped.

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。

Use whenever the user wants to find, shortlist, vet, or enrich US management consultancies — strategy, operations, executive coaching, leadership development, org-development/change management, PMO/program management, sales/revenue operations consulting. Triggers on "find me three top strategy consultancies in California", "shortlist boutique ops-consulting firms with healthcare experience", "we need an executive coach for our new CEO", or "pull contact info for these 10 consulting firm domains", even when described indirectly (post-merger integration help, change-management partner, fractional COO). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip in-house strategy hires, "help me build a strategy" do-the-work asks, framework comparisons (Lean vs Agile, BCG matrix, etc.), academic/MBA-program questions, life/career coaching for individuals, non-US firms, individual freelancers.

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。

Integrate the change set or implementation draft of the current or given task plan into its target. Use when the user calls to "deliver" or "apply" the change set or draft of the "task" or "plan". For merging a plain Git branch, use `ase-repo-merge` instead.

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。

Prepare Anarlog Nightly builds and promote tested desktop stable versions with current CLI, local and hosted MCP, API, agent packages, and documentation. Deploy any required hosted services during the release. Validate and merge release updates before publishing. Distribute mobile builds when requested.

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。

Plan and execute your second and third contributions to become a regular contributor. Covers relationship building, progressive complexity escalation, and community presence. Use when your first PR was merged and you want to keep contributing, when transitioning from one-off contributor to regular, or when planning a sustained OSS involvement. Not for your first contribution — use the oss-find-issue → oss-contribute chain for that.

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。

Use when you want a weekly feature announcement package from recent merge requests, including Slack, blog, LinkedIn, and carousel outputs.

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。

Portable Codebase Argus agent playbook for evidence-first multi-agent review of GitHub pull requests, CI failures, GitHub Actions logs, GitHub App webhook review, /argus PR comment commands, autofix branch planning, OpenAI/Claude/Gemini/Codex provider tribunals, downstream merge/rebase work, and long-lived fork sync against an upstream repository.

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。

Write or rewrite prose so it sounds like a human wrote it — not a frontier model. Named in homage to Rabindranath Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. Merges two complementary approaches: a 29-pattern catalog of AI tells (from humanizer) plus an 8-rule operating system with an 8-dimension scoring gate (extending stop-slop). Use when drafting, editing, or reviewing any prose: essays, posts, docs, reports, emails. Detects and removes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary, passive voice, negative parallelisms, filler phrases, inanimate-verb constructions, narrator-from-a-distance voice, and metronomic rhythm. Adds back the things AI writing usually lacks: point of view, stakes, specificity, restraint, varied rhythm, and trust in the reader.

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。

[Deprecated] discovery merged. Use `cm-skill-index` instead.

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。

[Deprecated] skill lifecycle merged. Use `cm-skill-evolution` instead.

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。

[Deprecated] engineering bridge merged. Use `cm-mcp-engineering` instead.

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。

[Deprecated] deploy safety merged. Use `cm-safe-deploy` instead.

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。

[Deprecated] engineering bridge merged. Use `cm-mcp-engineering` instead.

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。

[Deprecated] discovery and meta-skill merged. Use `cm-skill-index` instead.

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。

[Deprecated] skill lifecycle merged. Use `cm-skill-evolution` instead.

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。

[Deprecated] deploy safety merged. Use `cm-safe-deploy` instead.

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。