Skills directory · page 16

Use when a commercial request needs routing (pricing, deal review, discounts, partners, channels, policy, RFPs, forecasts): 'review this deal', 'should we discount'. Lists the commercial skills and routes to one.

Generate a Conventional Commits message from staged git changes and commit. Trigger when the user says: "commit", "コミット", "変更をコミット", "コミットメッセージを作って", "commit changes", or similar phrases requesting to create a git commit.

Commit staged or intended changes: compose a Conventional Prefix or Natural Language message, then use ai-commit — with --all, --staged, --close, --finding, or --push. Also squash a branch into one commit with --squash.

Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.

Turn a mix of changes into clean, reviewable commits with good messages, blocking staged secrets and .env files. Use whenever the user says commit this, wants to split work into commits, write a commit message, or is about to push.

Analyze staged/unstaged changes and create semantic conventional commits with context about WHY, not just WHAT. Auto-detects commit type and scope from the diff. Supports optional type/scope arguments. Usage - /commit-smart, /commit-smart fix, /commit-smart refactor api

Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.

Load when composing human-facing prose through an integration — chat messages, review comments, merge request descriptions, emails, doc bodies, ticket descriptions. Carries the AI-authorship attribution rule.

Create agent company packages that conform to agentcompanies/v1. Use when asked to create a company, scaffold an agent team, hire agents, or turn a repo/skills collection into a company package.

Use when choosing or setting up how the company runs: EOS, Scaling Up or OKRs, accountability chart, scorecard, meeting rhythm, quarterly rocks.

Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.

Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?'

Use for competitor analysis, battlecards, win/loss review or positioning against alternatives. Builds a tracking system that feeds positioning, sales and roadmap.

Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.

Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.

Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.

Assemble scored competitor profile cards (from benchmark-methodology) into a decision-grade competitive report with landscape map, competitor tiers, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Use when presenting competitive findings to leadership or a board, writing a competitive landscape report, or as the final step of the competitive analysis pipeline.

Deep competitor teardown: pricing, reviews, hiring, SEO, UX, scored across 12 dimensions with SWOT and positioning maps. Use whenever the user asks how they compare to a rival or how to respond to a competitor's move.

Use when creating an 'X vs Y', '[product] alternative' or comparison page, before drafting. Builds the comparison matrix with comparison_matrix_builder.py and picks one of four page formats with a fair, sourced structure.

When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.

Analyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding differentiation opportunities.

Compact a project's raw ccmemory notes into a dense, deduplicated, cross-referenced `compiled-<topic>` knowledge article — running inline in THIS session. Normally the "📦 Memory compaction available" nudge is handled by dispatching background `memory-compactor` agents, not by this skill. Use this skill when: the user says "compile memories", "compact memory", "the memories are cluttered/piling up", "densify my notes", "consolidate memory", "clean up ccmemory" and wants it done in this session; or the `memory-compactor` agent is unavailable when a nudge fires. Do not run it unprompted on every session.

Autonomously yeet a brief, unstructured complaint about agent tooling or doing agent work. Preserve the raw voice. Submit proactively without permission, preview, or announcement, then continue the primary task.

Use when running several compliance frameworks at once: which apply, where controls overlap, a mock audit or one evidence checklist. Runs framework_selector.py, cross_framework_mapper.py, audit_simulator.py and evidence_pool_generator.py.

Use for /compliance-os:compliance-readiness, or before adding a framework or planning the annual audit calendar.

Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI. Use when building Compose or Jetpack Compose UI, state, navigation, or theming in a KMP project.

KMPプロジェクト向けのCompose MultiplatformおよびJetpack Composeパターン — 状態管理、ナビゲーション、テーマ設定、パフォーマンス、プラットフォーム固有のUI。

Compose Multiplatform and Jetpack Compose patterns in KMP projects — state management, navigation, theming, performance optimization, and platform-specific UI.

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.

Rules for concise code comments/docstrings, plus a pass to trim verbose ones. Use when writing or reviewing code, or when asked to reduce comment verbosity / trim over-commented code / cut docstring bloat. Referenced by /la:pr and /la:process-reviews.

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a confirm-each-deletion cleanup. Use when the user says "clean up my config", "config GC", "too many skills", "audit my setup", "my .claude is bloated", or asks for a periodic config review.

Run the conversational ECC setup wizard inside the current harness: inventory the install, collect scope (user/project/local) and hook mode (off/minimal/standard/strict) in Claude Code, use Codex's native plugin lifecycle, or install the project surface under ./.kimi-code, then preview, apply, and verify. Use when installing, updating, reconfiguring, or repairing an ECC installation, changing hook profiles, or moving ECC between install scopes.

Guide ECC installation, update, or reconfiguration within Claude Code, Codex, or Kimi, while strictly adhering to each tool's actual plugin, scope, and Hook capabilities.

Claude Code、Codex、Kimi 内で ECC のインストール、更新、再設定を案内し、各ハーネスが実際に備えるプラグイン、スコープ、フック機能を守ります。

Use when building or restructuring a Confluence space: page hierarchy, permissions, templates, Jira macros or a content audit. Generates structure with space_structure_generator.py and audits with content_audit_analyzer.py.

Give an agent memory that survives sessions and access to real tools with Ciro's Agents line - Brain (memory), Connectors (MCP servers for Search Console, Google Analytics, YouTube, Drive, Calendar, app stores) and Universal MCP (the system that runs the business). Use when someone wants the agent to remember decisions, read their Google or store data, or talk to their own files, API or device.

Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.

Reorganize the user's X and LinkedIn networks with a review-first pruning strategy, provide add/follow suggestions, and draft gentle outreach tailored to different channels in the user's authentic voice. Use when the user wants to clean up their following list, grow toward current priorities, or rebalance their social graph around higher-signal relationships.

レビュー優先の整理、フォロー/追加の推薦、ユーザーの実際の声で書かれたチャネル別ウォームアウトリーチのドラフトを通じて、ユーザーのXとLinkedInネットワークを再編成します。フォローリストを整理したい、現在の優先事項に向けて成長したい、または高品質な関係を中心にソーシャルグラフのバランスを取り直したい場合に使用します。

Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.

Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.

Use when someone asks for 'content creator' by name. Deprecated alias: hands writing to content-production and planning to content-strategy.

Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.

A platform-native content system for creating multi-platform campaigns for X, LinkedIn, TikTok, YouTube, newsletters, and cross-platform repurposing. Use when the user needs social media posts, threads, scripts, a content calendar, or clear adaptation of one source asset across multiple platforms.

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

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。

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.