# AI use cases for GPT 6 Astra Skill (adand-91/gpt-6-astra-skill) Repo: [adand-91/gpt-6-astra-skill](https://github.com/adand-91/gpt-6-astra-skill) | Use cases: 4 | Page: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/ Astra Skill Optimizer is a Codex plugin and Python CLI that audits and adapts existing project Skills for GPT-6/Astra and keeps project goals, decisions, and handoffs in a narrow, checkable workflow. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Audit a project's Skills for GPT-6/Astra in Codex: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/audit-project-skills-for-gpt6-astra/ - Recover a stalled project's goal, stage, and blocker: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/take-over-stalled-project-with-jarvis/ - Prepare a project handoff for a new Codex task: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/prepare-project-handoff-to-new-task/ - Run an evidence-bound review with the requirement-ledger CLI: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/run-evidence-bound-review-from-cli/ ## How to audit a project's Skills for GPT-6/Astra in Codex with GPT 6 Astra Skill Repo: [adand-91/gpt-6-astra-skill](https://github.com/adand-91/gpt-6-astra-skill) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Install the plugin in Codex and get a plain-language audit of one project and its related Skills. **Who it is for:** A developer whose Codex Skills worked before and may now break under GPT-6/Astra behaviour changes, and who needs the next maintenance decision quickly. **The problem:** Skills written for earlier behaviour can carry outdated constraints that nobody has checked against GPT-6/Astra. **The outcome:** A plain-language audit that names the current problem, what an improvement would change, and one next step, with no files changed. ### Steps 1. Run `git clone https://github.com/adand-91/gpt-6-astra-skill.git` and then `cd gpt-6-astra-skill`. 2. Run `codex plugin marketplace add "$PWD"` from the checkout. 3. Run `codex plugin add gpt6-astra-skill-optimizer@requirement-ledger-local`. 4. Select one project, start a fresh Codex task, and ask: "Please audit this project and its related Skills for GPT-6/Astra. Explain the current problem, what an improvement would change, and one next step." ### Prompt to paste into your agent ```text In the gpt-6-astra-skill repo's Codex plugin, audit the project at and its related Skills for GPT-6/Astra. Return the current problem, what an improvement would change, and one next step. Verify that the audit made no file changes before accepting the result. ``` ### Caveat The plugin is a thin Skill workflow, and complete GPT-6/Astra adaptation still requires real project feedback, while the full Jarvis experience is a long-term goal. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/audit-project-skills-for-gpt6-astra/ ## How to recover a stalled project's goal, stage, and blocker with GPT 6 Astra Skill Repo: [adand-91/gpt-6-astra-skill](https://github.com/adand-91/gpt-6-astra-skill) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use the Jarvis takeover prompt to restore a project's status without modifying it. **Who it is for:** A project lead or developer picking up a long AI-assisted project whose goal and decisions have drifted into old chat history. **The problem:** Goals drift, old requirements reappear as facts, and decisions are lost inside chat. **The outcome:** A status view with the goal, current stage, evidence freshness, blocker, and one next action, plus a checkpoint another task can continue from. ### Steps 1. Run `codex plugin marketplace add "$PWD"` from the GPT 6 Astra Skill checkout. 2. Run `codex plugin add requirement-ledger@requirement-ledger-local`. 3. Select the project, start a fresh Codex task, and ask: "Hi Jarvis, take over this project. Recover its goal, current stage, blocker, and one next action. Do not modify it." 4. If the Skill is not selected automatically, retry once with `$requirement-ledger-workflow Hi Jarvis, take over this selected project.` ### Prompt to paste into your agent ```text Using the Jarvis workflow from the gpt-6-astra-skill repo, take over the project at without modifying it. Return its goal, current stage, blocker, and one next action with the required authority. Verify that no project files changed before reporting the result. ``` ### Caveat The first screen is a host-selected, unbound Codex decision aid, not a CLI-created source pack or final report. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/take-over-stalled-project-with-jarvis/ ## How to prepare a project handoff for a new Codex task with GPT 6 Astra Skill Repo: [adand-91/gpt-6-astra-skill](https://github.com/adand-91/gpt-6-astra-skill) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Generate a handoff with goal, decisions, unfinished work, and a receiving-task opening. **Who it is for:** A developer who must move a project to another Codex task or teammate before the current chat becomes unmanageable. **The problem:** Decisions and unfinished work stay trapped in one long chat, so a new task starts from guesses. **The outcome:** A handoff that lists the goal, decisions, unfinished work, risks, evidence pointers, and an opening for the receiving task. ### Steps 1. Install both plugins as described in the Codex plugin setup steps. 2. In the selected project's Codex task, ask Jarvis to "Prepare a handoff." 3. Copy the receiving-task opening into a fresh Codex task. 4. Ask the receiving task to continue from the checkpoint and name its first action before changing files. ### Prompt to paste into your agent ```text Using the gpt-6-astra-skill Jarvis workflow, prepare a handoff for the project at . Return goal, decisions, unfinished work, risks, evidence pointers, and a receiving-task opening. Verify that the handoff lists evidence pointers before the receiving task acts on it. ``` ### Caveat A handoff check and exact-source binding belong to the evidence-bound CLI review, not to the quick Codex handoff. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/prepare-project-handoff-to-new-task/ ## How to run an evidence-bound review with the requirement-ledger CLI with GPT 6 Astra Skill Repo: [adand-91/gpt-6-astra-skill](https://github.com/adand-91/gpt-6-astra-skill) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Create and check a bounded audit scaffold with an explicit window, timezone, and approved output path. **Who it is for:** A developer or auditor who needs a reproducible, checkable review of one target for a fixed time window. **The problem:** A quick chat audit cannot be reproduced or handed off, so reviews need explicit inputs and a checked report. **The outcome:** A validated audit scaffold and a review-check result for a final report written to an approved non-home path. ### Steps 1. From the checkout, run `uv tool install .`. 2. Run `requirement-ledger --version` and confirm the release you installed. 3. Run `requirement-ledger review-init --mode audit --target project:example --start 2026-08-01T08:00:00+08:00 --end 2026-08-02T08:00:00+08:00 --timezone Asia/Shanghai --output /approved/review/final-report.md`, replacing the example values with your own approved values. (inferred, check the README) 4. Run `requirement-ledger review-check /approved/review/final-report.md` and read the result before treating the report as checked. ### Prompt to paste into your agent ```text Using the requirement-ledger CLI from the gpt-6-astra-skill repo, create an audit scaffold for project: over the window to in timezone , written to the approved non-home path . Return the report path and the review-check output. Verify the review-check output before calling the report checked. ``` ### Caveat The CLI is the compatibility core, and passing it does not by itself prove that every product or public-release gate has passed. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/adand-91-gpt-6-astra-skill/run-evidence-bound-review-from-cli/