present

Structures research reports as verifiable decision trails with hypotheses, experiments, and claim verification levels.

1|Updated Aug 14, 2026
One-click install
npx skills add https://github.com/zhiyuan-zhang0206/Ava --skill present-zhiyuan-zhang0206
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: present
Source: https://github.com/zhiyuan-zhang0206/Ava/tree/main/ava_builtins/skills/ava-serious-research/practices/present
Command: npx skills add https://github.com/zhiyuan-zhang0206/Ava --skill present-zhiyuan-zhang0206

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Research results are often delivered as bare conclusions with no trace of how they were reached, leaving human reviewers unable to verify claims, spot hidden judgment calls, or steer the work. This Skill turns research reporting into a transparent, auditable process handoff. ## Core Features & Use Cases - Decision-trail reporting: Structures every report as question → hypotheses → experiments (failures included) → decision points with options, evidence, and recommendations. - Claim verification ladder: Tags each headline claim with its verification level, from formal verifier down to self-assessment, and marks unverified claims explicitly. - Role separation and reader analysis: Enforces renderer ≠ decider checkpoints, requires a written reader analysis, and links every headline number to its run (command, log path, seed). - Use Case: When finishing an experiment series, produce a progress report that lists each experiment with a one-line result, states the statistical verification of the main claim, flags what is not verified, and ends with an explicit decision request for the human reviewer. ## Quick Start Use the present skill to write a research progress report for my experiment results, including hypotheses, failed runs, verification levels for each claim, and the decision I need from my advisor.

Frequently Asked Questions about present

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a research progress report that a reviewer can verify?▼

Structure the report as a decision trail: the research question, each hypothesis, every experiment including failures with a one-line result, and each decision point with options and evidence. Attach every headline number to its run with command, log path, and seed.

How to label verification levels for research claims?▼

Tag each claim using the ladder from strongest to weakest: formal verifier, process-level check such as reproduced logs or a statistical test, rubric review, then self-assessment. If a claim was not checked, write "not verified" and state what verification would require.

Should failed experiments be included in a research report?▼

Yes. Failed experiments belong in the main trail, one line each with the lesson learned, not buried in an appendix. Omitting them hides the process and prevents the reader from judging which directions were actually explored.

What is the difference between presenting and verifying research results?▼

Presenting owns transparency and collaboration: rendering the question, evidence, and decision points so a human can steer. Verifying owns trustworthiness: producing the checks that justify each claim. The presenter must never declare their own work done.

When should AI-generated content in a report be human-verified?▼

Any AI-generated content that feeds a decision must be human-verified before the decision is made, and all AI-generated content in the report should be labeled. The human keeps ownership of problem-setting, idea filtering, and key-step verification.