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Maestro Issue · catlog22 | DecimalAI

productivityby catlog22

Maestro Issue

catlog22/maestro-issue

Source catlog22/maestro-flow ↗License Not recorded

Intent-driven issue lifecycle management — describe what you want in natural language (报告一个 bug / 列出开放 issue / 关掉 ISS-xxx / 关联到 task / 扫描发现问题) and the workflow routes to the right operation. Operates on .workflow/issues/. 知识管理走 /maestro-knowledge；knowhow 沉淀走 /maestro-knowhow；约束规则走 /maestro-spec。

NewMaintained

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Project Management pack

Last verified 8/28/2026

What it changes

4 of 24 test cases passed with the skill.

Pass-rate lift: —
Tokens: +145%
Agent turns: 0%
Response time: +112%

Model gemini-3.6-flashMeasured 8/28/2026v34 of 24 cases passed with skill · 5 comparable

Tokens, turns and time describe resource use, not a dollar price.

Lift withheld: 5 comparable cases; this report requires 8.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/catlog22-maestro-issue/SKILL.md https://app.decimal.ai/s/catlog22-maestro-issue/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add catlog22-maestro-issue, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/catlog22-maestro-issue/ and pins it in .decimal/skills.lock

decimalai skills add catlog22-maestro-issue

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/catlog22-maestro-issue/SKILL.md https://app.decimal.ai/s/catlog22-maestro-issue/SKILL.md

Raw file: /s/catlog22-maestro-issue/SKILL.md ↗ · machine-readable summary at /s/catlog22-maestro-issue.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

A test case the skill fixed. Same model, same prompt, with and without the skill.

Prompt

Run an automated check across our codebase to find architectural flaws, security risks, and technical debt items automatically.

What was checked, without and with the skill
Checked	Without skill	With skill
The response references ~/.maestro/workflows/issue-discover.md.	Missed	Passed
The response avoids reading ~/.maestro/workflows/issue.md.	Passed	Passed

case-12 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md17 linessingle file

create — report/record a new issue
list — list issues (with optional filters)
show — view one issue in detail
update — change status/priority/add a note
close — resolve/fail/defer an issue
link — link an issue to a task
discover — automated multi-perspective issue discovery

Pass the full $ARGUMENTS to the workflow. For discover, read ~/.maestro/workflows/issue-discover.md instead. The workflow classifies the intent, extracts parameters, and routes to the requested issue operation.

Track record

Benchmark

4 / 24

test cases passed with the skill

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 8/26/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

catlog22 / maestro-flow

.codex/skills/maestro-issue/SKILL.md

View on GitHub ↗

Imported 10/17/2026Version v3

More skills from the same source and nearby in the registry, with their headline benchmark lift.