AI Agent & Automation Workflows

Structure a clean handoff between workflow agents with explicit outputs, open questions, and next-owner guidance.

Review agent memory, handoff, retrieval, and learning designs for usefulness, provenance, privacy, staleness, and poisoning risk.

Review agent run traces, eval summaries, tool logs, and handoff evidence before accepting a workflow result or self-improvement proposal.

Shape ambiguous or frontier-agent work into a bounded agent task with outcome, scope, context, tools, autonomy level, and verification evidence.

Write correct @spec JSDoc annotations in source files to link code to specgraph spec documents and produce E0 evidence.

Decide how an external app or service should be integrated, including boundaries, auth scopes, ownership, and failure handling.

Assemble the minimal artifact bundle needed for another agent or human to continue work.

Review an agent workflow for where it may act autonomously, where it must ask, and where human approval is required.

Convert analysis output into actionable Beads-ready work items with clear scope, priority, and acceptance checks.

Plan the context, artifacts, memory, retrieval, and compression surfaces needed for an agent workflow or long-horizon task.

Assemble approved demo media, canonical source specs, evidence links, provenance, and promotion notes into a release or handoff bundle. Use when Codex needs to prepare demo-machine, manual QA, or generated media outputs for docs, launch pages, changelogs, social previews, or another agent.

Create safe static review surfaces for demo and QA media. Use when Codex needs an HTML or Markdown review page comparing demo videos, source specs, QA reports, screenshots, storyboards, quality findings, and evidence links from demo-machine, manual-qa-machine, Playwright, or video analysis outputs.

Plan no-caption slideshow-style MP4s and frame reels from demo-machine screenshots, storyboard frames, selected video spans, or manual QA evidence. Use when Codex needs a polished still-frame walkthrough, hero reel, or reviewable visual summary without recapturing the browser flow.

Plan short silent demo cuts, slideshow edits, hero loops, and social clips from existing demo-machine or QA evidence. Use when Codex needs no-caption polished videos, frame-based reels, poster frames, or audience-specific excerpts derived from events.json, screenshots, storyboard evidence, or rendered demo runs.

Package completed demo-machine runs, browser capture artifacts, or evidence-backed product demos into source-linked handoff bundles. Use when Codex needs to organize .demo.yaml, events.json, quality.json, screenshots, storyboard outputs, rendered videos, review prompts, or release-ready demo assets without losing provenance.

Align design artifacts with code tokens and component APIs so spacing, color, type, and states stay consistent through implementation.

Choose the right developer artifact type, source of truth, and review surface for a task.

Analyse specgraph verify output and identify what evidence is missing to advance specs to their next state.

Turn external skill, rule, plugin, MCP, task-memory, and multi-agent workspace patterns into safe fixture coverage rather than live dependencies.

Translate a Figma screen or component into an implementation plan covering structure, states, constraints, and component boundaries.

Inspect failing GitHub Actions checks, isolate the actionable failure, and turn it into a concrete fix path with verification steps.

Address GitHub PR review threads or issue comments with explicit comment selection, repo-grounded fixes, and concise reply-ready summaries.

Check whether host instruction surfaces such as AGENTS.md, CLAUDE.md, Codex agents, Cursor rules, Copilot instructions, and SKILL.md files have drifted apart.

Produce safe, self-contained HTML review artifacts from canonical project sources.