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aha

aha contains 6 collected skills from omerakben, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
6
Stars
2
updated
2026-06-02
Forks
0
Occupation coverage
3 occupation categories · 100% classified
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Skills in this repository

aha
project-management-specialists

AHA single door: full cycle + memory + resume/debrief/promote for fuzzy agentic asks.

2026-06-02
optimize-prompt
technical-writers

Rewrites a loose prompt as a standalone prompt for a context-free agent with role, constraints, output schema, and worked example. Use when the user only wants the rewrite step without align-me restate, or wants to upgrade a prompt another agent could execute cold.

2026-06-02
align-me
project-management-specialists

Restates a task in the agent's own words, surfaces implicit assumptions and open questions, reports confidence and execution status, and optionally rewrites the task as a standalone prompt. Use before any non-trivial task, when the user says "align me", wants to confirm shared understanding before acting, or wants to upgrade a fuzzy prompt for a context-free agent.

2026-06-02
ask-me
software-developers

Generates 3-5 ranked clarifying questions where each answer changes the approach, before acting on a fuzzy task. Use when the user has a vague ask, says "ask me", wants clarifying questions instead of guessing, or needs leverage-ranked multiple-choice questions before planning or execution.

2026-06-02
critique-this
software-developers

Steelmans then adversarially reviews a draft with 3 specific strengths, 3 failures with concrete fixes, and the single highest-leverage change. Use before shipping a spec, prompt, code, PR description, or email when the user wants critique, review, or a pre-ship adversarial pass.

2026-06-02
debrief
software-developers

Post-execution retrospective on an agent run. Compares what the handoff packet predicted against what actually happened — surfaces broken assumptions, unexpected failures, and one concrete change for the next run. Use after an agent completes a task, when the user says "debrief", "retro", "what went wrong", or wants to capture learnings before the next handoff.

2026-06-02