Vc Problem Solving
withkynam/vibecode-pro-max-kit
Apply systematic problem-solving techniques when stuck. An agent skill from withkynam/vibecode-pro-max-kit.
Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle.
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills meta-structured-problem --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meta-structured-problem .claude/skills/meta-structured-problem && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .claude/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problemType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills meta-structured-problem --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/meta-structured-problem .agents/skills/meta-structured-problem && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .agents/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills meta-structured-problem --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/meta-structured-problem .cursor/skills/meta-structured-problem && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .cursor/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgard-ai-platform/skills.git --path meta-structured-problem--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills meta-structured-problem --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/meta-structured-problem .gemini/skills/meta-structured-problem && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .gemini/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgard-ai-platform/skills meta-structured-problemInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/meta-structured-problem .github/skills/meta-structured-problem && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .github/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills meta-structured-problem --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/meta-structured-problem .opencode/skills/meta-structured-problem && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meta-structured-problem" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-structured-problem into .opencode/skills/meta-structured-problem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-structured-problem", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
meta-structured-problemApply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle.
Meta Structured Problem is an agent skill from asgard-ai-platform/skills. Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle. Use this skill when the user faces a complex, ambiguous problem and needs to decompose it systematically, structure a consulting-style analysis, or organize recommendations clearly — even if they say 'where do I start', 'this problem is too big', 'help me break this down', or 'structure my thinking'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/issue-tree-templates.md` and `references/pyramid-principle.md`).
The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Meta Structured Problem loads about 1.4k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 459 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 459 words, ~1,390 tokens.
.claude/skills/meta-structured-problem/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.IRON LAW: MECE or It's Not Structured
Every decomposition must be MECE:
- Mutually Exclusive: No overlap between categories
- Collectively Exhaustive: No gaps — all possibilities covered
"Revenue = New customers + Existing customers" is MECE ✓
"Revenue = Online + Enterprise + Growth" is NOT MECE ✗ (overlapping)Issue Tree: Decompose a question into sub-questions, MECE at each level
"Why is profit declining?"
├── Revenue declining?
│ ├── Volume down?
│ │ ├── New customer acquisition down?
│ │ └── Existing customer churn up?
│ └── Price down?
│ ├── Discounting increased?
│ └── Mix shift to lower-priced products?
└── Costs increasing?
├── COGS up?
└── OpEx up?Hypothesis-Driven Approach: Instead of exploring everything, state a hypothesis and test it
Pyramid Principle (Barbara Minto): Structure communication top-down
80/20 Rule: Focus on the 20% of analysis that drives 80% of the answer. Don't over-analyze secondary branches of the issue tree.
# Structured Analysis: {Problem}
## Problem Statement
{One sentence, specific and measurable}
## Issue Tree
{MECE decomposition — text or visual}
## Hypothesis
{Initial hypothesis with rationale}
## Evidence
| Branch | Hypothesis | Evidence | Verdict |
|--------|-----------|---------|---------|
| {branch} | {sub-hypothesis} | {data found} | Confirmed/Rejected |
## Synthesis (Pyramid Structure)
**Recommendation**: {answer first}
**Supporting Arguments**:
1. {argument 1 with evidence}
2. {argument 2 with evidence}
3. {argument 3 with evidence}
## Next Steps
1. {action item}Scenario: "Why is our food delivery app losing market share?"
Issue tree (MECE):
Market share declining
├── Our growth slowing?
│ ├── New user acquisition down?
│ │ ├── Marketing spend reduced?
│ │ └── Conversion rate dropped?
│ └── Existing user activity down?
│ ├── Order frequency declining?
│ └── Users churning?
└── Competitors growing faster?
├── New entrant capturing share?
└── Existing competitor accelerating?Hypothesis: "Existing user activity is down because order frequency declined after the delivery fee increase." Evidence: Order frequency dropped 22% in the month after fee increase. ✓
Pyramid: "Reverse the delivery fee increase for high-frequency users. Order frequency dropped 22% post-increase, and 60% of lost orders came from users who ordered 3+/week. A loyalty tier with waived fees for frequent users would recover an estimated 15% of lost share at a cost of NT$X/month."
references/issue-tree-templates.mdreferences/pyramid-principle.md© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in meta-structured-problem of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Meta Structured Problem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meta Structured Problem this skillasgard-ai-platform/skills | 241 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Vc Problem Solvingwithkynam/vibecode-pro-max-kit | 1.1k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Principle Redesign From First Principlescursor/plugins | 10k | 8 repos | ~211 | Automated safety check: Pass | None | |
| Worked Example To Problem Solving Transition DesignerGarethManning/education-agent-skills | 835 | — | ~6.2k | Automated safety check: Pass | Custom licence | |
| Is This A Problemanthropics/claude-for-legal | 9.6k | 2 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| More Trees AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~742 | Automated safety check: Pass | None |
withkynam/vibecode-pro-max-kit
Apply systematic problem-solving techniques when stuck. An agent skill from withkynam/vibecode-pro-max-kit.
cursor/plugins
Apply when integrating a new requirement into an existing design.
GarethManning/education-agent-skills
Design the transition from worked examples to independent problem-solving using expertise-reversal principles.
anthropics/claude-for-legal
Fast "is this a problem?" answer for the quick Slack question — pattern-matches against your calibration.
ComposioHQ/awesome-claude-skills
Automate More Trees tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
swarmclawai/swarmclaw
Always-on guidance for solving tasks resourcefully. An agent skill from swarmclawai/swarmclaw.
asgard-ai-platform/skills
Calculate Economic Order Quantity to minimize total inventory cost (ordering + holding).
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle. Meta Structured Problem is an agent skill from asgard-ai-platform/skills. Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle.
Meta Structured Problem fits situations like: the user faces a complex; ambiguous problem and needs to decompose it systematically; structure a consulting-style analysis; organize recommendations clearly — even if they say where do I start.
Run `npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a claude-code`. Or copy the skill folder (meta-structured-problem in asgard-ai-platform/skills) into .claude/skills/meta-structured-problem in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a codex`. Or copy the skill folder (meta-structured-problem in asgard-ai-platform/skills) into .agents/skills/meta-structured-problem in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill meta-structured-problem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-structured-problem, .gemini/skills/meta-structured-problem, .github/skills/meta-structured-problem and .opencode/skills/meta-structured-problem in your project.
SKILL.md names no scripts, command-line tools or credentials: Meta Structured Problem is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Meta Structured Problem is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Meta Structured Problem: Vc Problem Solving (withkynam/vibecode-pro-max-kit, 1.1k stars), Principle Redesign From First Principles (cursor/plugins, 10k stars), Worked Example To Problem Solving Transition Designer (GarethManning/education-agent-skills, 835 stars) and Is This A Problem (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 241 GitHub stars. The repository holds 209 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.