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Rollback Automation Skill · a5c-ai | DecimalAI

a5c-ai/rollback-automation-skill

SkillScore50Maintained

Automate rollback procedures with state snapshots, rollback scripts, and verification automation

DevOpsby a5c-ai

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

Automatic

DevOps & SRE pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/a5c-ai-rollback-automation-skill/SKILL.md

decimalai skills pull a5c-ai-rollback-automation-skill --out .claude/skills/

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

curl -fsSL --create-dirs -o .claude/skills/a5c-ai-rollback-automation-skill/SKILL.md https://app.decimal.ai/s/a5c-ai-rollback-automation-skill/SKILL.md

Raw file: /s/a5c-ai-rollback-automation-skill/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-rollback-automation-skill.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 55d ago

Yes — +45% lift-13% tokens0% turns50% of whole cases pass with skill (11/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	31%	0%
case-02	✗→✓	▲ Improved	-12%	0%
case-03	✗→✓	▲ Improved	83%	0%
case-06	✗→✓	▲ Improved	-29%	0%
case-07	✗→✓	▲ Improved	-19%	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 — 7/31/2026

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

a5c-ai / babysitter

library/specializations/code-migration-modernization/skills/rollback-automation-skill/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Rollback Automation Skill

Automates rollback procedures for migration activities, managing state snapshots, generating rollback scripts, and automating verification.

Purpose

Enable safe rollback for:

State snapshot management
Rollback script generation
Database rollback coordination
Traffic switch rollback
Verification automation

Capabilities

1. State Snapshot Management

Create pre-migration snapshots
Store state checkpoints
Version snapshots
Clean up old snapshots

2. Rollback Script Generation

Generate database rollbacks
Create code rollbacks
Build config rollbacks
Document procedures

3. Database Rollback Coordination

Generate reverse migrations
Handle data rollback
Manage transactions
Coordinate sequences

4. Traffic Switch Rollback

Revert routing rules
Switch DNS
Update load balancers
Handle sticky sessions

5. Verification Automation

Test rollback success
Verify functionality
Check data integrity
Validate performance

6. Rollback Testing

Test rollback procedures
Simulate failures
Validate timing
Document results

Tool Integrations

| Tool | Purpose | Integration Method | |------|---------|-------------------| | Database migration tools | Schema rollback | CLI | | Deployment tools | Code rollback | CLI | | Feature flags | Feature rollback | API | | Load balancers | Traffic rollback | API | | IaC tools | Infrastructure rollback | CLI |

Output Schema

json
{
  "rollbackId": "string",
  "timestamp": "ISO8601",
  "snapshot": {
    "id": "string",
    "created": "ISO8601",
    "components": []
  },
  "scripts": {
    "database": "string",
    "application": "string",
    "infrastructure": "string"
  },
  "execution": {
    "status": "ready|executed|verified",
    "duration": "string",
    "verification": {}
  }
}

Integration with Migration Processes

All migration processes (universal rollback support)

Related Skills

data-migration-validator: Post-rollback validation

Related Agents

rollback-specialist: Rollback orchestration
cutover-coordinator: Cutover management

Illustrative Want to see what a5c-ai/rollback-automation-skill would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/1/2026, 01:51 UTC · 22 cases

Lift

+45%

50% vs 5%

Agent turns

0%

1.0 vs 1.0

Tokens

-13%

2,095.27 vs 2,415

fail → pass · 10pass → pass · 1fail → fail · 11

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We encountered a critical failure during our production deployment to version 3.2. Generate a rollback plan and output a JSON payload containing a rollback ID, ISO timestamp, snapshot metadata (including snapshot ID, creation time, and affected components list), executable scripts for reversing database, application, and infrastructure changes, and an execution status object detailing duration and verification metrics.	fail→pass	8,155	8,991	+10%	1	1	0%	1,931	2,520	+31%	0	0	—
case-02 Our blue-green traffic switch to the new microservice cluster failed smoke tests. Prepare the rollback artifacts and respond with a structured JSON containing the rollback tracking identifier, timestamp, snapshot information with component breakdown, reverse scripts for database, application code, and infrastructure, plus the execution verification progress.	fail→pass	12,569	12,510	-0%	1	1	0%	2,989	2,636	-12%	0	0	—
case-03 Before we attempt our major database schema upgrade tonight, please set up the automated fallback procedure. Return the response in JSON format detailing the rollback identifier, creation timestamp, snapshot object with components list, script paths for database/application/infrastructure reversion, and the execution status block indicating readiness and verification results.	fail→pass	5,346	9,950	+86%	1	1	0%	1,301	2,378	+83%	0	0	—
case-04 We just executed a database rollback following a botched schema migration on PostgreSQL. Provide deep data integrity validation checks to confirm row counts and foreign key consistency across tables.	fail→fail	20,827	27,433	+32%	1	1	0%	3,827	5,182	+35%	0	0	—
case-05 Create a comprehensive cutover execution window schedule for shifting our primary enterprise workload from US-East to US-West during planned downtime.	fail→fail	26,137	20,811	-20%	1	1	0%	4,588	4,254	-7%	0	0	—
case-06 Assign and coordinate the active runtime agent responsibilities for executing multi-node real-time rollback orchestration during an active outage.	fail→pass	18,799	13,085	-30%	1	1	0%	3,890	2,781	-29%	0	0	—
case-07 We need to construct a status payload for a rollback plan that has completed snapshot creation but has not yet run scripts. Structure the output according to standard rollback output schemas.	fail→pass	10,999	6,980	-37%	1	1	0%	2,317	1,888	-19%	0	0	—
case-08 We are preparing a pre-migration snapshot for a multi-service application including PostgreSQL, Redis cache, and an AWS EC2 launch template. Provide the structured JSON output payload for this snapshot state.	fail→pass	10,101	8,815	-13%	1	1	0%	2,145	2,319	+8%	0	0	—
case-09 How should database schema rollback procedures integrate with relational database migration tools during automated execution?	pass→pass	18,564	18,825	+1%	1	1	0%	3,024	3,661	+21%	0	0	—
case-10 Specify the integration method used when coordinating application code rollbacks with automated deployment tools.	fail→pass	12,327	1,680	-86%	1	1	0%	2,010	757	-62%	0	0	—
case-11 What integration protocol or method should be used to reverse feature flag toggles during an emergency feature rollback?	fail→fail	10,643	1,957	-82%	1	1	0%	1,957	797	-59%	0	0	—
case-12 When reverting traffic routing rules at the application load balancer level during a failed deployment, which integration approach is expected?	fail→fail	9,962	1,987	-80%	1	1	0%	1,661	792	-52%	0	0	—
case-13 What integration channel is prescribed for triggering rollback operations managed via Infrastructure as Code provisions?	fail→pass	11,011	2,151	-80%	1	1	0%	1,852	798	-57%	0	0	—
case-14 During a traffic switch revert, our ingress controller needs to handle persistent user connections. What specific capability handles this aspect?	fail→fail	8,645	3,210	-63%	1	1	0%	1,398	960	-31%	0	0	—
case-15 Our relational database rollback failed because foreign key constraint reversals executed out of order. What database rollback coordination capabilities address sequence ordering and transactional safety?	fail→fail	15,130	11,458	-24%	1	1	0%	2,321	2,747	+18%	0	0	—
case-16 Storage costs are escalating due to historical state snapshot retention across hundreds of deployments. Which snapshot capability prevents unrestrained accumulation?	fail→fail	7,638	2,326	-70%	1	1	0%	1,147	833	-27%	0	0	—
case-17 We want to validate our rollback execution timing before running migrations in production. What capability supports non-destructive dry runs and testing?	fail→fail	13,530	4,980	-63%	1	1	0%	2,195	1,213	-45%	0	0	—
case-18 Generate a JSON artifact detailing rollback script definitions for a failed Kubernetes application migration involving a MySQL schema change, a Node.js binary update, and Terraform state adjustments.	fail→pass	17,878	11,358	-36%	1	1	0%	3,555	2,872	-19%	0	0	—
case-19 A global DNS cutover to a new cloud region failed latency checks. What traffic switch rollback capability addresses domain routing reversion?	fail→fail	10,819	2,961	-73%	1	1	0%	1,609	982	-39%	0	0	—
case-20 Following a rollback script execution, what automated verification capabilities are performed to ensure system health and data consistency?	fail→fail	14,165	5,231	-63%	1	1	0%	2,392	1,350	-44%	0	0	—
case-21 In addition to generating reversing code for database, app, and config, what additional output must script generation produce for operational teams?	fail→fail	11,777	5,110	-57%	1	1	0%	1,921	1,351	-30%	0	0	—
case-22 We executed a forward database schema migration that added non-null columns. How does database rollback coordination handle reversing schema state?	fail→pass	19,581	15,577	-20%	1	1	0%	3,100	3,025	-2%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +45 percentage points is the difference between those two pass rates over the 22 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 4.6%
Pass rate with the skill: 50%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 0
Skill version measured: v1
Run completed: 8/1/2026, 01:51 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-01

Prompt

We encountered a critical failure during our production deployment to version 3.2. Generate a rollback plan and output a JSON payload containing a rollback ID, ISO timestamp, snapshot metadata (including snapshot ID, creation time, and affected components list), executable scripts for reversing database, application, and infrastructure changes, and an execution status object detailing duration and verification metrics.

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run50

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+21% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 55 days ago

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