Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add huuanh20/awesome-ai-agent-skills --skill problem-solvinggit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/problem-solving)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/problem-solving"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/problem-solving/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/problem-solving"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/problem-solving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00564 |
| Opus 5.5 | $0.00010 | $0.00226 |
| Sonnet 5.5 | $0.00005 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
problem-solving scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Problem-Solving Skills
A collection of techniques for breaking through stuck points and finding elegant solutions.
Available Sub-Skills
When Stuck (Dispatch)
Location: when-stuck/SKILL.md
Start here when stuck. Matches your stuck-type to the right technique. Quick dispatch table for routing to the appropriate sub-skill.
Collision-Zone Thinking
Location: collision-zone-thinking/SKILL.md
Force unrelated concepts together to discover emergent properties. "What if we treated X like Y?" Revolutionary insights come from deliberate metaphor-mixing.
Inversion Exercise
Location: inversion-exercise/SKILL.md
Flip every assumption and see what still works. "What if the opposite were true?" Exposes hidden constraints and alternative approaches.
Meta-Pattern Recognition
Location: meta-pattern-recognition/SKILL.md
Spot patterns appearing in 3+ domains to find universal principles. Extract abstract forms that apply across domains.
Scale Game
Location: scale-game/SKILL.md
Test at extremes (1000x bigger/smaller) to expose fundamental truths. What breaks? What survives? Extremes reveal what normal scales hide.
Simplification Cascades
Location: simplification-cascades/SKILL.md
Find one insight that eliminates multiple components. "If this is true, we don't need X, Y, or Z." Look for unifying principles.
When to Use
| How You're Stuck | Use This |
|---|---|
| Don't know which technique | when-stuck |
| Need breakthrough innovation | collision-zone-thinking |
| Forced by assumptions | inversion-exercise |
| Same issue in different places | meta-pattern-recognition |
| Unsure about production scale | scale-game |
| Complexity spiraling | simplification-cascades |
Quick Reference
Conventional solutions inadequate? → collision-zone-thinking
"This must be done this way"? → inversion-exercise
Same pattern 3+ places? → meta-pattern-recognition
Will it work at scale? → scale-game
Same thing implemented 5+ ways? → simplification-cascades
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 70 lines · 26 tokens per session scan A edb1b52a9fad
problem-solving is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 564 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
loop
Work through the taskboard unattended for hours, pacing against the usage limits and filling the gap before a reset with CPU-only jobs. Use when asked to run all day, work unattended, or loop over tickets.
learn
Record a correction, decision, finding or failed attempt in the wiki. Use when the user corrects you, when a decision is made with a reason, when an experiment returns a verdict, or when you learn something the next session would otherwise re-derive.
wrap-up
Close out a task by folding what it taught into the wiki, updating the taskboard, and linting. Use at the end of a task, before clearing a session, or when asked to wrap up.
handoff
Write one self-contained goal that a fresh session can continue from. Use when context is running out, before clearing a session, when usage passes 95% on a long run, or when asked for a handoff.
init
Set up Dory in this repo by exploring it, creating wiki/ from the template, and connecting the usage statusline. Use when a project has no wiki/ yet, or when asked to set up Dory.
check-mcp-json
Safely review, triage, repair, and merge ToolSDK MCP Registry package JSON pull requests. Use when an agent needs to validate files under packages/, detect duplicate registry keys, classify community PRs, make authorized fixes on contributor branches, close invalid or duplicate PRs, or squash-merge approved PRs.