Repository inventory

snowmead/questionably-ultrathink

Skills indexed from this repository, with install-style signals scoped to the repo.
2 skills2 GitHub stars0 weekly installsShellGitHubOwner profile

Overview

This skill orchestrates advanced reasoning by combining Atom of Thoughts (AoT) decomposition with Chain of Verification (CoVe) self-checks. It factors problems into isolated atomic questions, solves each in a fresh, constrained context, and contracts answers back into dependent questions to produce a verified synthesis. Use it for complex, high-stakes, or multi-part technical decisions where auditability and rigorous verification matter.

How this skill works

First, it generates a DAG of atomic questions without solving them. Each atom is solved by a fresh isolated solver that sees only that single question; the solver returns an answer plus a self-verification trace and confidence. A maintainer then rewrites dependent atoms with contracted "Given..." contexts. Levels are solved in parallel and iterated until the final synthesis atom is solved.

When to use it

  • Complex multi-part engineering or architecture decisions
  • Security design reviews and high-stakes technical choices
  • Cases requiring rigorous factual verification and audit trails
  • Debugging problems that benefit from isolated hypothesis checks
  • When the user explicitly requests thoroughness or verification

Best practices

  • Always clarify intent and success criteria before building the graph
  • Select an appropriate rigor level: Standard, Thorough, or High-Stakes
  • Pass only the atom question text to each atomic solver to avoid contamination
  • Run atoms in parallel per level and preserve full verification traces
  • Use the judge agent for an extra QA pass on High-Stakes workflows

Example use cases

  • Evaluate trade-offs between microservice deployment strategies with verification of assumptions
  • Audit a security design by decomposing threats and verifying mitigations independently
  • Diagnose an intermittent production bug by isolating and verifying root-cause hypotheses
  • Produce a provably vetted synthesis for a compliance or architecture memo
  • Verify factual claims in multi-source research before presenting conclusions

FAQ

Each atomic solver is spawned fresh and receives only the single question text; it has no visibility into other atoms, IDs, or session data to prevent cross-contamination.

When should I choose High-Stakes rigor?

Choose High-Stakes for production or security decisions where any atom below 0.7 confidence must be re-solved and an optional judge evaluates coherence across atoms.

2 skills

More from this maintainer
Other repositories and skills published under the same GitHub owner.
Skills library
Jump back to the full directory or explore grouped topics.
Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational