Design Audit Against Rams' Principles
thedotmack/claude-mem
Audits a design against Dieter Rams' ten principles of good design, scores each with evidence, and hands off a make-plan prompt for a new, refined or redesigned outcome.
A skill your agent uses when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling…
MITAuto-check passed
Install Ppopp Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-experiments --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .claude/skills/ppopp-experiments && 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 "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .claude/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experimentsType 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 brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-experiments --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .agents/skills/ppopp-experiments && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .agents/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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 brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-experiments --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .cursor/skills/ppopp-experiments && 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 "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .cursor/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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/brycewang-stanford/Awesome-Journal-Skills.git --path PPoPP-Skills/skills/ppopp-experiments--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 brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-experiments --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .gemini/skills/ppopp-experiments && 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 "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .gemini/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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 brycewang-stanford/Awesome-Journal-Skills ppopp-experimentsInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .github/skills/ppopp-experiments && 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 "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .github/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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 brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-experiments --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-experiments .opencode/skills/ppopp-experiments && 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 "ppopp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PPoPP-Skills/skills/ppopp-experiments into .opencode/skills/ppopp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppopp-experiments", 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.
Facts
- Skill name
ppopp-experiments- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 512 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling…
- Auditing a PPoPP papers evaluation
- SKILL.md covers Match evidence to the claim, The scalability story, Correctness under concurrency and Baselines that survive scrutiny, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering the twin bar of concurrency correctness and measured scalability — speedup curves
What it does
Ppopp Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling, core/thread sweeps, NUMA and GPU effects, contention microbenchmarks plus real workloads, variance and measurement hygiene, and honest strong baselines.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Auditing a PPoPP papers evaluation
- Covering the twin bar of concurrency correctness and measured scalability — speedup curves
- Strong vs weak scaling
- Core/thread sweeps
Example prompts
- “/ppopp-experiments”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ppopp Experiments loads about 1.3k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 512 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 512 words, ~1,302 tokens.
Download SKILL.mdSave it as
.claude/skills/ppopp-experiments/SKILL.md (or your agent's skills folder).- name
- ppopp-experiments
- description
- Use when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling, core/thread sweeps, NUMA and GPU effects, contention microbenchmarks plus real workloads, variance and measurement hygiene, and honest strong baselines.
PPoPP Experiments
Design the evaluation to clear PPoPP's twin bar: the contribution must be correct under concurrency and measurably scalable. A speedup with no correctness argument, or a correctness proof with no scaling data, each fails half the venue. Reviewers are parallel-systems experts who will interrogate the baseline, the machine, and the variance before they believe a number.
Match evidence to the claim
| Claim shape | Evidence PPoPP expects | Common failure it catches |
|---|---|---|
| A lock-free/wait-free structure | Throughput vs. thread count under varied contention; a linearizability/progress argument; memory-reclamation overhead | Single contention level; "no race seen" instead of an argument |
| A parallel runtime/scheduler | Overhead vs. sequential; strong+weak scaling on real workloads; load-balance behavior | Microbenchmarks only; no real application |
| A GPU/accelerator technique | Speedup over a strong GPU baseline; occupancy/divergence analysis; transfer costs counted | Ignoring host-device transfer; a weak baseline kernel |
| A parallel algorithm | Scaling on real inputs; NUMA/locality effects; comparison to the best known implementation | One input; a naive baseline |
| A memory-model / race tool | Soundness/coverage claims; runtime overhead; false-positive/negative characterization | Overhead unmeasured; no ground truth |
The scalability story
- Show the curve. Report performance as a function of thread/core count, not one configuration. The interesting information is the shape: linear region, saturation point, collapse.
- Distinguish strong vs. weak scaling and label which you show. Strong scaling (fixed problem, more cores) and weak scaling (problem grows with cores) answer different questions; conflating them is a classic PPoPP tell.
- Sweep the topology. Cross-socket and NUMA effects, thread pinning, and (for GPUs) occupancy and divergence often dominate; a single-socket-only result invites "what about NUMA?"
- Count the hidden costs. Memory reclamation, host-device transfer, allocation, and scheduling overhead belong inside the reported numbers, not in a footnote.
Show full SKILL.md (235 more words)Show less
Correctness under concurrency
- Provide an argument, not just testing: linearizability (with linearization points), lock-freedom/wait-freedom (progress), or a checked property. "Passed a stress test" bounds confidence but does not establish correctness.
- Name the memory model you assume (C/C++11 atomics, the GPU model, hardware TSO) and show your synchronization is correct under it, not just under sequential consistency.
- If you use a model checker or race detector to support the claim, report its configuration and what it covers.
Baselines that survive scrutiny
- Compare to the strongest real competitor, at the competitor's best settings, on the same machine — not to your own unoptimized code and not to a strawman.
- Rebuild and re-tune baselines yourself where feasible; citing a competitor's paper number measured on different hardware is not a fair comparison.
- If you are the first at something, construct the most credible reasonable baseline and justify it.
Measurement hygiene
[Repeats] multiple runs; report median/mean with variance (error bars / percentiles)
[Warm-up] discard JIT/cache/allocator warm-up; state the steady-state protocol
[Pinning] pin threads to cores; state the topology and the pinning policy
[Isolation] quiescent machine; no co-tenants; disable turbo/frequency scaling or report it
[Inputs] real workloads plus targeted microbenchmarks; state sizes and sources
[Provenance] exact CPU/GPU, socket/NUMA layout, memory, compiler and flags, OSA single-run bar chart with no error bars, on an unstated machine, is the evaluation a PPoPP reviewer trusts least.
Anticipate the rebuttal questions at design time
The two questions PPoPP reviewers ask most — "does it still scale at higher core counts / on
another GPU?" and "how does it compare to baseline X?" — cannot be answered in the short
rebuttal window if the runs were never made. Pre-run the larger core sweep and the obvious
alternative baseline before submission so the numbers are already in hand (see
ppopp-author-response).
Output format
[Twin bar] correctness argument present? scalability curve present? both required
[Scaling] strong/weak labeled, core sweep, NUMA/GPU topology, hidden costs counted? yes/no
[Correctness] hazard + argument (linearizability/progress) under a named memory model? yes/no
[Baselines] strongest real competitor, same machine, tuned? yes/no
[Hygiene] repeats+variance, warm-up, pinning, isolation, provenance? list gaps
[Rebuttal pre-runs] higher core count + alternative baseline already measured? yes/no© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in PPoPP-Skills/skills/ppopp-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ppopp Experiments 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 |
|---|---|---|---|---|---|---|
| Ppopp Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Design Audit Against Rams' Principlesthedotmack/claude-mem | 99k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Experiment Auditwanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~2.7k | Automated safety check: Notes | MIT | |
| Experiment Auditwanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~3.2k | Automated safety check: Notes | MIT | |
| Experiment Designeralirezarezvani/claude-skills | 28k | 1 repos | ~783 | Automated safety check: Pass | MIT | |
| OpenClaw Design Auditopenclaw/clawhub | 9.5k | — | ~498 | Automated safety check: Pass | MIT |
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Questions about Ppopp Experiments
What does Ppopp Experiments do?
A skill your agent uses when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling…. Ppopp Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling, core/thread sweeps, NUMA and GPU effects, contention microbenchmarks plus real workloads, variance and measurement hygiene, and honest strong baselines.
When should I use Ppopp Experiments?
Ppopp Experiments fits situations like: auditing a PPoPP papers evaluation; covering the twin bar of concurrency correctness and measured scalability — speedup curves; strong vs weak scaling; core/thread sweeps.
How do I install Ppopp Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a claude-code`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ppopp-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Ppopp Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a codex`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ppopp-experiments in your project. Codex loads it when a task matches its description.
Can I use Ppopp Experiments in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ppopp-experiments, .gemini/skills/ppopp-experiments, .github/skills/ppopp-experiments and .opencode/skills/ppopp-experiments in your project.
What does Ppopp Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Ppopp Experiments is instructions for the agent only.
Does Ppopp Experiments access the network?
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.
Is Ppopp Experiments safe to install?
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.
What licence does Ppopp Experiments use?
Ppopp Experiments is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ppopp Experiments use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ppopp Experiments?
Skills that share tags, products or a category with Ppopp Experiments: Design Audit Against Rams' Principles (thedotmack/claude-mem, 99k stars), Experiment Audit (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Experiment Audit (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars) and Experiment Designer (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ppopp Experiments?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.