`opencode` `github-v1.2.24` unifies HTTP API middleware routing

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• #0001

  #0001Agents & toolscreator_economy4 hours ago

  Build HTML Slide Decks with `Claude Code` `/slides` Skill

  40radar

  A rough outline becomes an animated HTML deck through a reusable skill. Useful for product demos, tutorials, and pitch pages when PowerPoint is too slow.

  • —The flow centers on a /slides skill, so the repeatable asset is the prompt/workflow rather than a one-off deck.
  • —Output targets animated HTML, which fits web-native sharing better than static PowerPoint files.
  • —The promise is 12 formats + 3 templates; worth testing for launch decks, changelog visuals, and demo narratives.

  Source: creatoreconomy.so/p/build-beautiful-slides-with-claude-cRead original →
• #0002

  #0002Agents & toolslennys_newsletter5 hours ago

  `Codex` `/goal` workflow for overnight agent tasks

  50radar

  CodexOpenAI coding agent — supports goal-driven long runs

  A practical walkthrough of /goal: demo, 3 use cases, and a 6-part goal framework. Useful for longer agent runs, but still a tutorial signal, not a launch.

  • —/goal is framed around letting Codex keep working from one goal; best fit is repetitive engineering work with clear boundaries.
  • —The material includes a live demo plus 3 real use cases, so it is more actionable than a generic opinion thread.
  • —The 6-part goal framework is the reusable bit: better prompts decide whether overnight runs create progress or just burn tokens.

  Source: www.lennysnewsletter.com/p/the-codex-feature-that-works-Read original →
• #0003

  #0003Agents & toolsGeekNews10 hours ago

  `React Doctor` diagnoses AI-generated React code with static analysis

  70radar

  React DoctorReact static analysis CLI — scores AI-generated code quality

  A one-line npx scan scores React projects across quality and safety checks. Useful as a fast review gate before accepting agent-written code.

  • —Runs with npx react-doctor@latest, so it fits into local review or CI without a setup-heavy adoption path.
  • —Diagnostics cover state, side effects, performance, security, accessibility, and architecture — broader than lint-only checks.
  • —Outputs a 0-100 score in the terminal, making AI code review easier to turn into a repeatable gate.

  Source: news.hada.io/topic?id=29920Read original →