mkelicit

Solid

Structured second-pass reasoning after code review or plan evaluation. Offers named reasoning methods (pre-mortem, inversion, red team, Socratic, etc.) to re-examine findings through a specific lens. Use after /mk:review verdict or any time deeper analysis is needed on an existing output. NOT for initial review (see mk:review); NOT for creating implementation plans (see mk:plan-creator).

AI & Automation 14 stars 2 forks Updated 1 months ago MIT

Install

View on GitHub

Quality Score: 81/100

Stars 20%
39
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Elicitation — Structured Second-Pass Reasoning Re-examine an existing output (review verdict, plan, analysis) through a named reasoning method. Surfaces insights that generic "make it better" requests miss. ## When to Use - After `/mk:review` verdict — deepen analysis before Gate 2 - After plan creation — stress-test assumptions before Gate 1 - After any agent output — when user wants a specific angle of analysis - When user says "dig deeper", "what am I missing", "challenge this" **NOT this skill if:** you have no existing artifact to re-examine — use `mk:brainstorming` for open exploration, or `mk:problem-solving` for approach-stuck situations. ## Reasoning Methods | Method | Lens | Best For | | ----------------------- | ----------------------------------------------- | --------------------------------------------- | | **Pre-mortem** | "Assume this shipped and failed. Why?" | Risk discovery, failure mode analysis | | **Inversion** | "What would make this maximally wrong?" | Assumption testing, edge cases | | **Red Team** | "You are an attacker. How do you exploit this?" | Security analysis, adversarial thinking | | **Socratic** | "What evidence supports each claim?" | Logic validation, gap detection | | **First Principles** | "Strip assumptions. What's funda...

Details

Author
ngocsangyem
Repository
ngocsangyem/MeowKit
Created
5 months ago
Last Updated
1 months ago
Language
TypeScript
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

reasoning

To apply structured 8D meta-cognitive reasoning thinking to complex problems, then answer clearly with caveats. Must use when asked to think or reason.

344 Updated 1 weeks ago
griddynamics
AI & Automation Solid

sequential-thinking

Structured reasoning harness for problems where shallow thinking fails or hallucination is costly. Use whenever a question requires multi-step reasoning, involves competing hypotheses, has multiple interacting components, or carries irreversible consequences. Activate for debugging with unclear root causes, intermittent or multi-component issues, incident post-mortems, choosing between multiple valid approaches, architecture or design tradeoffs, causal chain analysis, high-stakes decisions, and any task where the first plausible answer is suspiciously easy. Provides reasoning modes (abductive, counterfactual, first-principles, inversion, and more), grounding techniques against confabulation, adversarial self-checks, root-cause playbooks, and automatic multi-approach synthesis (independent angles run in parallel and compared) — all through the `mcp__sequential-thinking__sequentialthinking` tool. Skip for trivial lookups, obvious fixes, and single-step questions.

13 Updated 5 days ago
app-builders-club
AI & Automation Listed

dialectical-reasoning

Use when making any non-trivial recommendation, analysis, plan, design decision, code-review note, or architectural trade-off — before presenting to the user or acting. Forces a thesis / antithesis / synthesis pass so first-pass conclusions cannot ship without surviving their strongest counter-case.

10 Updated today
CorvinLabs