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Subagents/Writing & docs/wegamekinglc/Derivatives-Algorithms-Lib

dal-spec-writer

wegamekinglc/Derivatives-Algorithms-Lib
SubagentLoads cleanly

Turn fuzzy user requests, GitHub issues, or one-line feature ideas into a precise, testable requirement specification for the DAL C++ quantitative finance…

Scores
79
out of 100 · grade B+

2026-08-14

Works

40% of the score

100/100

  • Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

100/100

  • no commits in the last 12 weeks

Adopted

20% of the score

20/100

  • 26 stars on the source repo.

Documented

15% of the score

66/100

  • 654 words with worked examples.
Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit today.

What it says it does

Turn fuzzy user requests, GitHub issues, or one-line feature ideas into a precise, testable requirement specification for the DAL C++ quantitative finance library. Use when the user posts a vague feature request, a GitHub issue body that needs sharpening, or any time scope, acceptance criteria, or edge cases are unclear before development can start. Examples: <example> Context: User has a one-line feature ask user: "We should support OIS-discounted swaptions" assistant: "Let me use the dal-spec-writer agent to turn this into a concrete spec before we design or code anything." <commentary> Vague feature request - the spec writer will probe scope, calibration inputs, API surface, and acceptance criteria. </commentary> </example> <example> Context: GitHub issue with thin description user: "Pick up issue #42 - 'add log-linear interp'" assistant: "I'll use the dal-spec-writer agent to read the issue and produce a complete spec." <commentary> Issue body needs to be expanded into testable acceptance criteria before delegation to implementer. </commentary> </example> <example> Context: Ambiguous scope user: "Make the curve calibration faster" assistant: "Let me use the dal-spec-writer agent to define what 'faster' means here - workload, target, measurement." <commentary> Performance asks need quantified targets and a measurement method before any work starts. </commentary> </example>

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-14.

The record

Type
Subagent
Category
Writing & docs
Repository
wegamekinglc/Derivatives-Algorithms-Lib
Last commit
today · 2026-08-14
Repository stars
26
Installs
not in the skills.sh registry
Licence
MIT
Model
inherit
Instruction length
654 words
Bundled files
0
View the source on GitHub

Also in wegamekinglc/Derivatives-Algorithms-Lib

Other artifacts published from the same repository.
ArtifactScoreWhat the check foundTypeReachLast commit
dal-reviewerwegamekinglc/Derivatives-Algorithms-Lib
81
cleanSubagent26 starstoday
dal-unit-test-writewegamekinglc/Derivatives-Algorithms-Lib
81
cleanSkill26 starstoday
dal-criticwegamekinglc/Derivatives-Algorithms-Lib
80
cleanSubagent26 starstoday
dal-orchestratorwegamekinglc/Derivatives-Algorithms-Lib
80
cleanSubagent26 starstoday
dal-commit-and-prwegamekinglc/Derivatives-Algorithms-Lib
80
cleanSkill26 starstoday
dal-implementerwegamekinglc/Derivatives-Algorithms-Lib
79
Long descriptionSubagent26 starstoday

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