Ben Chatelain

Save current Codex session to 2ndBrain vault with frontmatter, executive brief, and full transcript

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Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

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Check macOS GHA runner status for the getditto org

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Daily Linear update

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Write commit messages under the agent-commits convention - a Conventional Commits fork with no chore catch-all, intent-only type tokens, facts in trailers, and legally-grounded AI provenance (Assisted-by, never Co-authored-by). Use when composing a commit in a repo whose commitlint.config.js extends agent-commits, when deciding between feat/fix/refactor/perf, or when recording AI participation.

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Structured, risk-aware code review of a GitHub pull request using the gh CLI, with diff triage, unresolved-thread suppression, and severity-grouped findings ending in an approve/request-changes verdict.

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Update the PR description for the current branch

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Use when spawning an agent()/workpool() subagent with an outputSchema, or a task agent whose frontmatter sets structured: true, to reduce yield retry failures by stating the exact result envelope and required fields in the prompt.

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Build and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, or workspace panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.

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Paseo reference for managing projects, workspaces, workspace scripts, agents, schedules, and heartbeats.

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Review a written plan or design doc through a designer's lens before implementation - seven passes over information architecture, interaction states, emotional arc, AI-slop risk, design-system alignment, responsive and accessibility coverage, and unresolved decisions. Each dimension is rated 0-10 with an explicit statement of what would make it a 10, then the plan is edited to get there. Use when a plan has a UI surface and you want the design gaps closed before code is written. Not for auditing a live site.

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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

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Use when you have a written implementation plan to execute in a separate session with review checkpoints

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Address GitHub PR review feedback at line, file, and PR level — fetch, evaluate, fix, commit, and resolve. Use when given a PR URL, a review-comment URL, or a PR-level comment URL. Triggers: GitHub discussion URLs, "fix this review comment", "address PR feedback", "resolve PR comments", PR URLs with #discussion_, #issuecomment-, or #pullrequestreview- fragments.

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Run an infrastructure-first security audit of a repository - secrets archaeology, dependency supply chain, CI/CD pipeline, LLM/AI attack surface, agent skill supply chain, OWASP Top 10, STRIDE threat model, and data classification - with a confidence gate and a pre-emit verification gate that suppress speculative findings. Use when asked for a security audit, threat model, pentest-style review, OWASP pass, or a pre-release security check. Not for reviewing a single diff - use requesting-code-review for that.

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Use when executing implementation plans with independent tasks in the current session

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Use when implementing any feature or bugfix, before writing implementation code

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Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine. Use when a feature needs programmable common sense, when brainstorming what AI could make possible in an app, or when an LLM prompt-and-parse step could become a structured decision. Applications include routing, ranking, extraction, verification, and interactive experiences; these are starting points, not the limits. Read live docs and cookbooks to find useful patterns and discover new combinations.

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Explains the ~/.worktrees/<path-key>/<branch> worktree convention, the dotfiles-repo opt-in, and what a dotfiles worktree cannot validate. Use to understand or explain worktree layout and its constraints; use the git-worktree skill to actually create, switch to, or delete one.

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Use when you have a spec or requirements for a multi-step task, before touching code

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No-op workflow for when the user says they duplicated the chat/session into another tab. Use when invoked as `$dupe` or when the user says this tab was duplicated and no action is needed.

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Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

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Codex workflow tips from Boris Cherny and the Codex team. Use when setting up Codex or optimizing workflows: parallel sessions, worktrees, plan mode, AGENTS.md, skills, subagents, hooks, MCP, permissions, and sandboxing.

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