apex-review
Reviews a technical proposal from the perspective of organizational decision-makers (CTO, technical lead, QA lead, conference reviewers, etc.) and generates…
Skill by chrono-meta
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/chrono-meta-apex-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: presentations, frontend, testing, sales
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/apex-review
What's inside
- Skill name
apex-review- Description
- Reviews a technical proposal from the perspective of organizational decision-makers (CTO, technical lead, QA lead, conference reviewers, etc.) and generates an HTML presentation deck. Outputs approval gate results per persona and connects to sim-conductor for improvement suggestions.
- License
- MIT
- Instructions
- 184 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (1)
- SKILL.md
SKILL.md (first lines)
# apex-review — Decision-Maker Review Layer > Reviews proposals from the perspective of **top-level organizational decision-makers**, not field practitioners. > Technically excellent and "this person will approve it" are different things. **Role distinction from hub-persona-auditor** - hub-persona-auditor: Validates **reader comprehension** of a finished asset (reading experience) - apex-review: Evaluates **decision-maker approval likelihood** of a technical proposal (decision-making experience) --- ## Triggers - `/apex-review` - "Will this work for the decision-maker?", "Will the CTO approve this?", "What do I need to present to the team lead?" - "Review from an executive perspective", "Generate presentation slides" (when decision-maker audience is specified) - When agent-composer identifies a task requiring a decision-maker approval gate - "Check this before I report to my manager" - "Does this look convincing?" - "Find objections they might raise in advance" - "Review before the executive briefing" - "Do you think this will pass?" --- ## Built-in Decision-Maker Personas | Code | Role | Core Evaluation Criteria | Auto-Reject Triggers | |:---:|---|---|---| | `CTO` | Chief Technology Officer | Strategic alignment · competitive advantage · tech vision | "Everyone else is already doing this" / "Feels like a personal project" | | `TD` | Technical Lead / Team Lead | Implementation risk · team capability · operational burden · cost | Vague timelines / conflicts with existing stack | | `QAL` | QA Lead / Quality Owner | Quality standards · testability · rollback plan · compliance | No validation plan / failure scenarios not documented | | `CONF` | Conference Organizer / External Reviewer | Novelty · demo-readiness · audience value · reproducibility | Overloaded with internal jargon / demo not possible | If the user does not specify a target persona, it will be confirmed in Step 0. --- ## Step 0. Receive Topic + Target If no input is provided: ``` Please provide the apex-review target. Proposal summary: (What are you seeking approval for?) Target decision-maker: [CTO / TD (Technical Lead) / QAL (QA Lead) / CONF (Conference)] — multiple allowed Proposal file: (provide path or paste content if available) Output format: [HTML presentation deck (recommended) / Markdown report] ``` If no proposal file is provided, collect content through conversation. --- ## Step 1. Structure the Proposal Organize the received content into the following slide structure. ``` [S1] One-line thesis — "What needs to be done and why" [S2] Current state / problem — What is not working right now [S3] Proposal — What changes and how [S4] Expected outcomes — Quantified or verifiable change [S5] Implementation plan — Phases, timeline, ownership [S6] Risks + mitigations — Failure scenarios + rollback [S7] Requests — What is needed from the decision-maker ``` If any slide is missing during structuring, request the user to fill it in. --- ## Step 2. Generate HTML Presentation Deck Generate as `apex_review_deck_YYYYMMDD.html`. HTML structure rules: - Each slide = `<section class="slide">` block - Per slide: title + body + (if applicable) decision-maker attention note - Navigation: keyboard ←→ or buttons - Style: clean dark background / large headlines / emphasized key figures ```html <!-- Slide example --> <section class="slide"> <h2>Current State · Problem</h2> <p class="body">…</p> <aside class="exec-note CTO">CTO attention: …</aside> </section> ``` Notify the user of the file path after saving. --- ## Step 3. Persona Review Evaluate the proposal for each target decision-maker. Output format: ``` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ apex-review — Decision-Maker Review Results ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ [CTO Review] Verdict: ✅ Approved / ⚠️ Conditional / ❌ Rejected Rationale: … Conditions (if conditional): … Critical weaknesses: … [TD Review] Verdict: … … ``` ---
From chrono-meta/forge-harness, MIT.
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Signals
- Stars
- 30
- Forks
- 1
- Open issues
- 2
- Last commit (this folder)
- Aug 11, 2026 (2 months ago)
- Last release
- Oct 24, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/chrono-meta/forge-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillAFreshness: A★ 30Claude Code +9 - 0.647score
cross-ecosystem-synergy-detection
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Cite this page
apex-review skill. Agent Mart. https://agentmart.dev/skills/chrono-meta-apex-review (last updated 2026-10-24)