Finding Experiments
PostHog/posthog
Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing experiment-list (not feature-flag tools), with disambiguation when multiple experiments match.
A skill your agent uses when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems…
MITAuto-check passed
Install Soda Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-experiments .claude/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .claude/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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/SODA-Skills/skills/soda-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 soda-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-experiments .agents/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .agents/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-experiments .cursor/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .cursor/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 SODA-Skills/skills/soda-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 soda-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-experiments .gemini/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .gemini/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-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 soda-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/SODA-Skills/skills/soda-experiments .github/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .github/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-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 soda-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/SODA-Skills/skills/soda-experiments .opencode/skills/soda-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 "soda-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-experiments into .opencode/skills/soda-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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
soda-experiments- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 553 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems…
- So this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX
- SKILL.md covers The routing question, When numerics help a SODA…, Honest-numerics protocol and Instance-generation discipline, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Soda Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
Its SKILL.md is about 1.4k 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
- So this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX
Example prompts
- “/soda-experiments”
Requirements
- Python 3
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 (its code samples are python).
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
Soda Experiments loads about 1.4k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 553 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). 553 words, ~1,447 tokens.
Download SKILL.mdSave it as
.claude/skills/soda-experiments/SKILL.md (or your agent's skills folder).- name
- soda-experiments
- description
- Use when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
SODA Experiments
SODA's stated scope covers the design and analysis of efficient algorithms and data structures, "including theoretical analysis and experimental validation" (SIAM SODA conference pages, checked 2026-07-08) — but the reviewing center of gravity is the theorem. Experiments at SODA are admissible evidence, never the verdict. Meanwhile the same registration desk in Philadelphia hosts ALENEX, the SIAM Symposium on Algorithm Engineering and Experiments, where experiments are the verdict (ALENEX 2027: January 24-25, 2027, submissions due July 20, 2026, with formal artifact evaluation). The first decision is always routing.
The routing question
| Property of your work | SODA | ALENEX | SEA |
|---|---|---|---|
| New asymptotic bound; implementation as color | Yes | No | No |
| Known-optimal theory; engineering makes it fast in practice | No | Yes | Yes |
| Experimental methodology contribution (benchmarks, measurement standards) | No | Yes (explicit scope) | Yes |
| Theory + experiments both genuinely novel | Split into two papers with disjoint claims | second paper | alternative |
| Heuristic that works, no analysis | No | Maybe, with rigorous evaluation | Maybe |
The eleven-day gap between SODA's deadline (July 9, 2026) and ALENEX's (July 20, 2026) exists to be used: the theory paper goes to SODA, and the engineering follow-up — with its own contribution, not a reformat — goes to ALENEX.
When numerics help a SODA submission
- Constant-factor sanity. A bound with towering constants invites the "galactic algorithm" objection; a small experiment showing the constants are civilized defuses it in one figure.
- Tightness illustration. Plotting measured cost against the proved bound on generated worst-case-family instances makes a tightness conjecture visible.
- Heuristic-gap motivation. When the paper's point is that theory lags practice (or vice versa), measured evidence of the gap justifies the question.
- Counterexample exhibition. A constructed instance defeating prior heuristics is stronger shown than described.
If none of these apply, include no experiments. A benchmark table bolted onto a pure-theory SODA paper signals venue confusion and spends referee goodwill.
Show full SKILL.md (252 more words)Show less
Honest-numerics protocol
Experiments inside a theory paper are held to theory standards of precision about what they claim:
- Label the claim class explicitly: illustration (visualizing a proved fact), evidence (supporting an unproved conjecture), or motivation (documenting a phenomenon). Never let an illustration drift into implied proof.
- Generate instances from stated distributions or named public families; "random graphs" without the model named is unfalsifiable.
- Report the machine, the implementation language, and whether comparisons use your reimplementation of the baseline (say so — reimplementation fairness is the standard objection).
- Deterministic seeds, released generator scripts (
soda-artifact-evaluationfor anonymity-safe packaging).
Figure caption pattern (illustration class):
"Measured comparisons of Algorithm 1 on the lower-bound family of
Section 5 (n = 2^10..2^20, 50 seeds, median and quartiles), against
the proved O(n log n) curve (dashed). Instance generator and seeds:
see the verification archive. This figure illustrates Theorem 2; the
theorem's proof does not depend on it."The final sentence of that caption is the SODA-specific move: it tells the referee the mathematics stands alone.
Instance-generation discipline
The credibility of a theory paper's numerics lives in the generator, not the plot. A generator worth releasing:
# gen_lowerbound_family.py -- worst-case family from Section 5 (fictional)
import argparse, random
def instance(n: int, seed: int):
rng = random.Random(seed) # single seeded source, no globals
# ... construct the Section-5 gadget deterministically from (n, seed) ...
return gadget
if __name__ == "__main__":
p = argparse.ArgumentParser()
p.add_argument("--n", type=int, required=True)
p.add_argument("--seed", type=int, required=True)
a = p.parse_args()
emit(instance(a.n, a.seed)) # documented, versioned output formatRequirements the referee-side rerun imposes: the paper names the family and the
parameter grid; the generator is deterministic in (n, seed); the exact seeds
behind every figure are listed in the archive; and any "real-world" inputs are
named public datasets with checksums, not "graphs from our collaborators."
Placement and proportion
- Experiments go in one clearly bounded section (or an appendix), after the theory, never interleaved with proofs.
- Proportion signals identity: one figure and half a page reads as a theory paper with due diligence; five tables reads as an ALENEX paper trapped in the wrong submission queue.
- The abstract mentions experiments only if they carry a claim; "we also implement our algorithm" is title-page noise at SODA.
Output format
[Routing verdict] SODA / ALENEX / SEA / split, with the deciding property
[Inclusion verdict] <which of the four helper roles applies, or none>
[Claim-class labels] <illustration/evidence/motivation per figure>
[Protocol gaps] <instance models, seeds, baseline fairness, machine specs>
[Proportion check] <experimental mass appropriate for a theorem-led paper?>© 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 SODA-Skills/skills/soda-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Soda 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 |
|---|---|---|---|---|---|---|
| Soda Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Finding ExperimentsPostHog/posthog | 40k | — | ~826 | Automated safety check: Pass | Custom licence | |
| ExperimentsArize-ai/phoenix | 12k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Scroll Experiencesickn33/agentic-awesome-skills | 47k | 2 repos | ~534 | Automated safety check: Pass | MIT | |
| Webgl Experiencenexu-io/open-design | 100k | — | ~903 | Automated safety check: Pass | Apache-2.0 | |
| Creating ExperimentsPostHog/posthog | 40k | — | ~2.7k | Automated safety check: Pass | Custom licence |
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Questions about Soda Experiments
What does Soda Experiments do?
A skill your agent uses when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems…. Soda Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
When should I use Soda Experiments?
Soda Experiments fits situations like: so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX.
How do I install Soda Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-experiments -a claude-code`. Or copy the skill folder (SODA-Skills/skills/soda-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/soda-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Soda Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-experiments -a codex`. Or copy the skill folder (SODA-Skills/skills/soda-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/soda-experiments in your project. Codex loads it when a task matches its description.
Can I use Soda 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 soda-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/soda-experiments, .gemini/skills/soda-experiments, .github/skills/soda-experiments and .opencode/skills/soda-experiments in your project.
What does Soda Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Soda Experiments is instructions for the agent only. Our summary lists: Python 3.
Does Soda 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 Soda 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 Soda Experiments use?
Soda 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 Soda Experiments use?
About 1.4k tokens (SKILL.md is roughly 5.8k 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 Soda Experiments?
Skills that share tags, products or a category with Soda Experiments: Finding Experiments (PostHog/posthog, 40k stars), Experiments (Arize-ai/phoenix, 12k stars), Scroll Experience (sickn33/agentic-awesome-skills, 47k stars) and Webgl Experience (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Soda 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.