Borrowing it
Nothing to install: this file belongs to HoangTheQuyen/think-better. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HoangTheQuyen/think-better/main/.agents/skills/problem-solving-pro/SKILL.mdgit clone --depth 1 https://github.com/HoangTheQuyen/think-betterWrote 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/hoangthequyen/think-better/problem-solving-pro)<a href="https://agentmods.dev/skills/hoangthequyen/think-better/problem-solving-pro"><img src="https://agentmods.dev/badge/skills/hoangthequyen/think-better/problem-solving-pro/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/hoangthequyen/think-better/problem-solving-pro"><img src="https://agentmods.dev/badge/skills/hoangthequyen/think-better/problem-solving-pro.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 | $0.00118 | $0.04306 |
| Opus 5.5 | $0.00047 | $0.01722 |
| Sonnet 5.5 | $0.00024 | $0.00861 |
| Haiku 4.5 | $0.00012 | $0.00431 |
Grade A, and why
problem-solving-pro 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 19d 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
Help users solve complex problems systematically using proven frameworks — turning vague issues into structured analyses with actionable recommendations.
problem-solving-pro
Comprehensive structured problem-solving framework for tackling any complex challenge. Contains a 7-step methodology, 18 decomposition frameworks, 8 prioritization techniques, 15 analysis tools, 12 cognitive biases with debiasing strategies, 10 communication patterns, 13 mental models, and 10 team dynamics patterns. Searchable database with reasoning-based recommendations that adapts to your specific problem type.
Prerequisites
IMPORTANT: Detect the correct Python command first. Some systems use python3, others use python. Run:
python3 --version 2>/dev/null || python --version
Use whichever command succeeds (python3 or python) for ALL script calls below. If the system only has python (common on Windows), substitute python everywhere you see python3 in this document.
If neither works, Python is not installed: tell the user that the scripts need Python 3.9+ and ask before installing anything; do not run a package manager on your own.
Note: On Windows, Python 3 is typically available as
python(notpython3).
Running the Scripts
Run every command from the project root with the path shown, e.g.
python3 .agents/skills/problem-solving-pro/scripts/search.py ... (the installer adjusts this path for
your AI tool). Saved plans and journals are written to the project, never inside the skill folder.
Saving again never overwrites files that already exist (they hold your notes); add --force
to replace them.
Passing the user's text
When the query is the user's own words (a request, an error message, a pasted log), pass it on
stdin with --stdin instead of quoting it, so quotes, backticks and $ never reach the shell.
Every example below does this.
Use exactly this delimiter, THINK_BETTER_EOF_7f3a, quoted as shown:
python3 .agents/skills/problem-solving-pro/scripts/search.py --stdin --plan <<'THINK_BETTER_EOF_7f3a'
<the user's text, unchanged>
THINK_BETTER_EOF_7f3a
What ships with it
15 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.
- data/analysis-tools.csv 16 KB
- data/cognitive-biases.csv 12 KB
- data/communication.csv 11 KB
- data/decomposition.csv 19 KB
- data/heuristics.csv 13 KB
- data/prioritization.csv 6.8 KB
- data/problem-types.csv 9.8 KB
- data/reasoning.csv 11 KB
- data/steps.csv 8.0 KB
- data/team-dynamics.csv 10 KB
- PROMPT.md 17 KB
- scripts/advisor.py 41 KB runs code
- scripts/core.py 21 KB runs code
- scripts/search.py 8.8 KB runs code
- scripts/workspace.py 14 KB runs code
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.
- 19d ago Changed · +87 lines · -5 tokens per session scan B → A 90e5bc3d1282
- 1mo ago First seen · 246 lines · 123 tokens per session scan B 334524534519
problem-solving-pro is a skill published in the GitHub repository HoangTheQuyen/think-better (125 stars, last pushed 6d ago), licensed MIT. It adds 118 tokens to every session and 4,306 once invoked, about $0.0005 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 2026-08-30.
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