dispatch
Skill0 starsChanged 8 months agoNo licenceView on GitHub
Analyze work items for file overlaps and dependencies, build a wave schedule, and execute via agent team.
40 other projects use a version of this.
Adopted by
Most recently taken up by
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- dan-myles/skillstheir own version, first seen Nov 1, 2026
- bestony/skillstheir own version, first seen Nov 1, 2026
- AcKeskin/contexturetheir own version, first seen Nov 1, 2026
- mhlaghari/stuntmantheir own version, first seen Nov 1, 2026
- vu1n/pillboxtheir own version, first seen Oct 26, 2026
Used with
Projects with it also use edge-detection, odds-analysis and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
noahowshSkilledge-detection
Comparing a tennis model's probability with the market: no-vig close, expected value at the best available price, closing line value, fractional Kelly sizing, and the checks that separate an estimated edge from noise. Use when the user has a probability and wants to know whether a price is better than fair, how large a stake is reasonable, or whether an edge is real. Requires a probability the user trusts. Do not use for fetching prices: see odds-explorer. Do not use for devig math alone: see odds-analysis. Do not use for historical testing: see backtesting.
Also in 4 projects that use this
- noahowshSkill
odds-analysis
Odds math for two-way tennis markets: American to implied probability, margin, devigging (multiplicative, power, Shin), no-vig fair odds, consensus across books, favorite-longshot bias, and expected value of a price. Use when the user asks what a price implies, how to remove the vig, what the true probability is, or how to compare books. Do not use for fetching or comparing live prices: see odds-explorer. Do not use for deciding a bet against a model: see edge-detection.
Also in 4 projects that use this
agiprolabsSkillwalk-forward-validation
Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation
Also in 4 projects that use this
Yahmez3Skillbacktesting
Use when backtesting a trading strategy — evaluating a signal series against historical price data and computing performance metrics (Sharpe, Sortino, max drawdown, CAGR, win rate, expectancy). Triggers on "backtest this strategy", "what's the Sharpe on X", "run a walk-forward test", or "compare strategies A and B". Produces equity curves, trade logs, and tear sheets.
Also in 4 projects that use this
ffsshhttiikkSkillfeature-engineering
Machine learning feature engineering
Also in 4 projects that use this
varun29ankuSSkillorchestrate
This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel', or mentions 'multi-agent'. Decomposes complex tasks into tracked subtasks, dispatches parallel subagents, and coordinates until completion.
Also in 4 projects that use this
- +3 more from noahowsh
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- your-papa/obsidian-Smart2Brain★ 1.3ksame name
- s2b-dev/smart-second-brain★ 1.3ksame name
- bassimeledath/dispatch★ 411same name
- renzrollon/interlock★ 61same name
- fagemx/edda★ 36same name
- phj128/autoworker★ 18same name
- clonable-eden/cekernel★ 17same name
- mhlaghari/stuntman★ 16same name
- YippeeXuXu/dsh-collab-mode★ 5same name
- BigY0shi/super-skills★ 4same name
30 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- decomposeSkill
- doc-updateSkill
- prep-prSkill
- restorySkill
- roastSkill
- test-guided-designSkill
- tgd-auditSkill
- triageSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
27 rules. 0 are common, 11 are distinctive, and 16 are very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
11
Distinctive
This author's own choices. Worth a look.
16
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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