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Agentic Workflows Router — measured AI agent skill | DecimalAI

camunda/agentic-workflows

NewSkillScoreMaintained

Route gh-aw workflow create/debug/upgrade requests to the right prompts.

by camunda

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

DevOps & SRE pack

decimalai skills pull camunda-agentic-workflows

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/camunda-agentic-workflows/SKILL.md

Raw file: /s/camunda-agentic-workflows/SKILL.md ↗ · machine-readable summary at /s/camunda-agentic-workflows.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

—-48% tokens0% turns64% of whole cases pass with skill (14/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-42%	0%
case-05	✗→✓	▲ Improved	-61%	0%
case-07	✗→✓	▲ Improved	-40%	0%
case-09	✗→✓	▲ Improved	-70%	0%
case-10	✗→✓	▲ Improved	-50%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

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

camunda / camunda

.claude/skills/agentic-workflows/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

Agentic Workflows Router

Use this skill when a user asks to create, update, debug, or upgrade GitHub Agentic Workflows in this repository.

This skill is a dispatcher: identify the task type, load the matching .github/aw/*.md file, and follow it directly. Keep responses concise and ask a clarifying question if the correct prompt is unclear.

Read only the files you need: Load these files from github/gh-aw (they are not available locally).

After loading the matching workflow prompt, follow it directly:

Create new workflows: .github/aw/create-agentic-workflow.md
Update existing workflows: .github/aw/update-agentic-workflow.md
Debug, audit, or investigate workflows: .github/aw/debug-agentic-workflow.md
Upgrade workflows and fix deprecations: .github/aw/upgrade-agentic-workflows.md
Create shared components or MCP wrappers: .github/aw/create-shared-agentic-workflow.md
Create report-generating workflows: .github/aw/report.md
Fix Dependabot manifest PRs: .github/aw/dependabot.md
Analyze coverage workflows: .github/aw/test-coverage.md
Render compact markdown charts: .github/aw/asciicharts.md
Map CLI commands to MCP usage: .github/aw/cli-commands.md
Choose workflow architecture and patterns: .github/aw/patterns.md
Optimize token usage and cost: .github/aw/token-optimization.md

When the task involves OTEL, OTLP, traces, observability backends, or telemetry-driven analysis, also read and follow skills/otel-queries/SKILL.md after loading the matching workflow prompt.

Want to see if camunda/agentic-workflows would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.