agentsclimarketplace

Talend ans agent

Skill asin553/EscAlert-Ops/.agents/skills/talend-ans-agent

An AI-powered noise suppression and defect triage agent addressing an industry-wide gap in observability of data integration platforms. It enriches alerts with execution context, failed components, downstream dependency impact, and LLM-summarized notifications.

Install
npx -y skills add asin553/EscAlert-Ops --skill talend-ans-agent

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Work on this Talend Alert Noise Suppression Azure Functions app, including Talend task/plan parsing, retry classification, alert storage, digest email, and optional OpenAI summaries.

SKILL.md

4.3 KB, 938 tokens by cl100k_base, as published. Nobody here has run it

Talend ANS Agent Skill

Use this skill when modifying the Talend Alert Noise Suppression source code in this repository.

First Read

  1. Read AGENTS.md.
  2. Read function_app.py.
  3. Check whether alert_recipients.json or any edited file contains unresolved merge markers.

Code Map

  • Settings: all environment-driven runtime configuration.
  • TalendClient: Talend API calls.
  • SqliteAlertStore and AzureSqlAlertStore: duplicate alert persistence contracts; keep schemas aligned.
  • EmailNotifier: daily digest SMTP delivery.
  • OpenAIErrorSummarizer: optional JSON-mode summary fallback.
  • Decision helpers: retry/noise classification, rule-based summaries, master-job dependency parsing, plan dependency parsing.
  • Timer triggers: poll_talend_alerts and send_daily_digest.

Endpoint Flow To Preserve

Shared polling starts with GET /processing/executables/tasks/executions. Read response items, group by taskId, and keep the latest run using finishTimestamp, startTimestamp, then triggerTimestamp.

For every latest failed execution, call GET /monitoring/observability/executions/{executionId}/component.

For MANUAL task failures:

  1. Use taskId, executionId, executionStatus, executionType, errorMessage, and component metrics to classify the failure.
  2. Retry only transient network/engine/platform failures with POST /processing/executions and payload {"executable": "<taskId>", "logLevel": "WARN"}.
  3. Treat data, component, permission, syntax, and ambiguous failures as valid alerts.

For MANUAL Master Jobs:

  1. Detect child jobs from component metrics where connector_type == "tRunJob".
  2. Order children by numeric suffix in connector_id, such as tRunJob_1 before tRunJob_2.
  3. Use the first tRunJob with a stack trace as the failed child.
  4. Report later tRunJob components as downstream jobs that should not be expected to run.

For PLAN failures, enrich context in this exact order:

  1. GET /monitoring/observability/executions/{executionId}/component
  2. GET /processing/executables/plans/executions, matching by planId to find planExecutionId
  3. GET /processing/executions/plans/{planExecutionId}/steps, extracting failed step IDs/status
  4. GET /orchestration/executables/plans/{planId}, extracting plan name, plan executable, step names, task names, chart, nextStep, and flows

For retryable plan failures, call POST /processing/executions/plans with payload {"executable": "<plan executable>"} where the executable comes from /orchestration/executables/plans/{planId}.

Change Checklist

  • Keep new settings in Settings with safe defaults.
  • Keep Talend parsing tolerant of missing keys and alternate sample response shapes.
  • Update both storage backends when alert row fields change.
  • Classify unknown failures as valid failures.
  • Retry only transient platform/network failures.
  • Preserve digest filtering through include_in_digest.
  • Do not expose secrets from local.settings.json.
  • Run python -m compileall function_app.py after Python changes.

Common Extension Points

  • New transient failure: add a precise pattern to TRANSIENT_PATTERNS.
  • New non-retryable failure: add a precise pattern to NON_RETRIABLE_PATTERNS.
  • New human-readable summary: update summarize_error_rule_based.
  • New Talend component relationship: extend parse_master_job_dependency or add a similarly tolerant helper.
  • New plan response shape: adjust flatten_plan_steps or enrich_plan_context without breaking the linked chart.nextStep shape.
  • New alert column: update SQLite DDL/migration, SQL Server DDL/migration, insert field lists, digest HTML if user-facing, and any test/sample data.

Verification

Minimum syntax check:

python -m compileall function_app.py

For runtime verification, install dependencies and start the Functions host:

.\.venv\Scripts\python -m pip install -r requirements.txt
func host start

Use real Talend/OpenAI/SMTP calls only when the required environment variables are present and the user expects networked verification.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most context ai engineering skills give in 938 tokens

Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-07

  • Dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
  • Dispatch a final code reviewer after all tasksin 33 of 1193, across 8 files
  • Provide full task text to the subagentin 30 of 1193, across 9 files
  • Review spec compliance before code qualityin 27 of 1193, across 10 files
  • Make the hook script executablein 26 of 1193, across 8 files
  • Re-snapshot after navigation or DOM changesin 25 of 1193, across 19 files
  • Read files before editing themin 22 of 1193, across 11 files
  • Answer subagent questions before proceedingin 22 of 1193, across 7 files
  • Mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
  • Merge hook into existing settingsin 21 of 1193, across 3 files
  • Ask if installation is global or projectin 20 of 1193, across 2 files
  • Copy the hook script to target locationin 20 of 1193, across 2 files

Said here and by no other author read

  • check for unresolved merge markers
  • keep storage backend schemas aligned
  • keep new settings safely defaulted
  • make talend parsing tolerate missing keys
  • update both storage backends for field changes
  • classify unknown failures as valid failures

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 327,069. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.