403 skills · sorted by relevance
Carry out an existing implementation plan in one session, task by task. Verify each step with tests, record progress and decisions in a file, and finish with a review of all changes on the branch.
Prepare a separate workspace for feature development using platform tools or git worktree, which gives a branch its own working directory. It checks existing isolation, prepares dependencies, and runs tests before implementation begins.
Find the ECC command sequence for a development task, including the order to run commands and when to stop. It reads current command files, groups related workflows, and provides guidance without executing them.
Check untrusted text before passing it to a model or executing it. Using AIDefence, it provides safety checks, detailed threat classifications, confidence scores, and scanning for attempts to override instructions or extract data.
Turn a competitive or market question into a focused research approach through three adaptive questions. Get recommendations for information sources, review frequency, and executing skills, with reasons tailored to the decision and available time.
Carry out a written implementation plan in a separate session, reviewing it before starting and tracking each task through verification. The workflow pauses for blockers and hands completed work to a development branch finishing process.
Prepare a separate workspace for feature development using platform tools or git worktree, which gives a branch its own working directory. It checks existing isolation, prepares dependencies, and runs tests before implementation begins.
Carry out an implementation plan by assigning independent tasks to separate agents. The workflow includes specification checks, code quality reviews, fixes, a persistent progress record, and a final review of the entire branch.
Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.
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One-command pre-execution review pipeline. Runs scope review → architecture review → security review → design review (auto-detects which apply) before executing any workflow. Surfaces only taste decisions for user approval. Auto-fixes obvious issues. Use before executing multi-step workflows, deploying, or when user says "review this plan", "check before running", "pre-flight", or "is this ready?". Runs CEO → eng → security automatically with encoded decision principles.
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Jules REST APIを使用してタスクを対話的に依頼・管理する。セッション作成・プラン承認・メッセージ送信・進捗監視をAPI経由で行い、Claudeと協調してタスクを完遂する。ベースブランチ指定とPR自動作成に対応。認証はJULES_API_KEY_OP_URI（1Passwordシークレット参照）またはJULES_API_KEYで行う。Do NOT use for 認証情報未設定の環境でのタスク実行（task-executingを使用すること）。
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Execute detailed plans in batches with review checkpoints
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Carry out an implementation plan by assigning each task to a separate agent, then reviewing specification compliance and code quality. Keep progress in files and review the complete set of changes after all tasks are finished.
Review MCP configuration without running its servers. Identify npm, Python, and Docker references that may fetch different code later, classify their version settings, and recommend pinning versions or image contents that the team has reviewed.
Plan product launch campaigns from audience research and positioning through landing pages, emails, social posts, ads, and short video scripts. Build a daily content calendar and review messaging for consistent tone, clear actions, and supportable claims.
Organize engineering work carried out by AI agents with clear completion criteria, small verifiable tasks, and evaluations before and after implementation. Match model choice to task complexity and track tokens, retries, time, and outcomes to manage cost.
Guide a first task in Paperclip by clarifying goals, constraints, and completion criteria. Prepare a plan or one task proposal, then wait for approval before creating execution tasks or carrying out the agreed work.
Create a phased implementation plan for a feature or complex development task. It investigates documentation and existing examples, identifies supported APIs, and records concrete tasks, references, and verification checks for each phase.
Improve an AI agent's harness, the software that organizes its work, while keeping the model fixed. Test changes in a sandbox, measure their results, and retain variants that pass tests and demonstrate improvement.
Scan declared MCP servers and tools for permission, policy, and dependency issues without executing them. Produce JSON or a Markdown table, and set a severity threshold that determines whether a CI check fails.
Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.
Automate Dialpad operations through Rube MCP and Composio. The skill finds tools for the requested task, verifies the service connection, and follows current input requirements when executing individual or combined operations.
Automate Docupilot tasks using Rube MCP, a bridge from an AI agent to external tools. The skill searches for supported operations, checks authentication status, and runs selected actions with inputs matching their current definitions.
Automate Encodian operations through Rube MCP and Composio. The skill guides an agent through finding available tools, checking the service connection, and executing tasks using the current input requirements returned by tool discovery.