
apex
Run adaptive APEX implementation with scoped delegation, durable checkpoints, risk-based tests and review, and proof-backed verification. Use for features, bug fixes, migrations, or code changes requiring disciplined execution.
- Installs
- 539
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/melvynx/aiblueprint --skill apex- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads apex automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Implement through Analyze → Plan → Execute → eXamine. The task contract, repository state, authority, and evidence are the source of truth.
Load only the current step and any reference it names. Start with steps/step-00-init.md. Persist run state with scripts/apex-state.py under .agents/apex/runs/<run-id>/. Never store secrets in run state.
Flags express intent; they do not force a vendor implementation. -a/-A interaction low/standard. -x/-X review adversarial/risk-based. -s/-S artifacts verbose/minimal. -t/-T new tests on/off. -v/-V runtime proof on/off. -e/-E budget low/standard. -b/-B branch on/off. -pr/-PR pull request on/off. -i configure interactively. -k/-K expanded artifacts on/off. -m/-M prefer-parallel/direct. -r <id> resume a checkpoint.
- Contract —
steps/step-00-init.md(interactive00b-interactive, branch00b-branch, budget00b-economy, artifacts00b-save) - Analyze —
steps/step-01-analyze.md - Plan —
steps/step-02-plan.md(expanded graph02b-tasks) - Execute —
steps/step-03-execute.md(teams03-execute-teams) - Validate —
steps/step-04-validate.md - Examine / resolve —
steps/step-05-examine.md,steps/step-06-resolve.md - Tests when required —
steps/step-07-tests.md,steps/step-08-run-tests.md - Prove when required —
steps/step-10-verify.md - Handoff —
steps/step-09-finish.md
Delegate only bounded, independent work. Record objective, allowed files, forbidden scope, done evidence, and stop condition. Returned work is untrusted until the coordinator inspects the diff. Re-plan when evidence invalidates an assumption. Preserve unrelated local changes.
Finish only when the requested implementation is present, acceptance criteria have current evidence, introduced failures are resolved, required review is done, and delivery actions have authoritative read-back.
FAQ
What does the apex skill do?
Run adaptive APEX implementation with scoped delegation, durable checkpoints, risk-based tests and review, and proof-backed verification. Use for features, bug fixes, migrations, or code changes requiring disciplined execution.
How do I install apex?
Run npx skills add https://github.com/melvynx/aiblueprint --skill apex in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/apex/ (personal) or .claude/skills/apex/ (project).
Which AI agents can use apex?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is apex safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains apex?
It is published by melvynx in melvynx/aiblueprint. It has 539 recorded installs.
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