distributed-consistency
Governs replicated entities, async consumers, retries, deletion propagation, dead letters, and reconciliation across service boundaries.
Skill by tinomupezeni
Chalk Labs
Need help deploying distributed-consistency?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tinomupezeni-distributed-consistency
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/distributed-consistency
What's inside
- Skill name
distributed-consistency- Description
- Governs replicated entities, async consumers, retries, deletion propagation, dead letters, and reconciliation across service boundaries.
- License
- MIT
- Instructions
- 16 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Distributed Consistency For each replicated entity define producer, consumer, identifier, field compatibility, deletion/archive semantics, retry policy, dead-letter handling, and reconciliation owner. Use owning-service IDs, not human-readable names. Consumers must accept every legitimate producer value or reject it through an explicit logged and alertable path. Retryable operations require idempotency keys and visible outcomes: accepted, already applied, retried, rejected, or dead-lettered. Reconcile identifiers and important state, not only row counts. Audit all downstream copies when adding a delete, archive, or unpublish path to one sibling. Verify migration cleanup preconditions independently per environment.
From tinomupezeni/engineering-skills, MIT.
More from tinomupezeni/engineering-skills
- 0.584score
engineering-baseline
tinomupezeni
Default engineering control for agent work.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
issue-to-production
tinomupezeni
Runs the closed loop from defect discovery through root cause, regression proof, staging, production verification, and recurrence prevention.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
task-contract
tinomupezeni
Turns an ambiguous engineering request into a bounded, testable task contract for humans or coding agents.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
agent-delegation
tinomupezeni
Delegates engineering work with explicit scope, verification, standards, and evidence requirements.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
ai-behavioral-correctness
tinomupezeni
Verifies semantic and behavioral correctness of LLM, retrieval, routing, memory, fallback, and tool-using agent systems.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
contract-integrity
tinomupezeni
Detects and prevents drift between backend routes, schemas, serializers, clients, fixtures, migrations, and test harnesses.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
production-engineering-pack
tinomupezeni
Production bundle combining baseline, issue, contract, deployment, data, configuration, observability, and security controls.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
security-boundaries
tinomupezeni
Reviews identity, authorization, tenant scope, service trust, webhooks, signatures, replay protection, and negative security behavior.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
deployment-truth
tinomupezeni
Verifies that the exact intended artifact, database state, dependencies, and user path are healthy before and after promotion.
SkillAFreshness: A★ 1Claude Code +9 - 0.576score
observability-correctness
tinomupezeni
Ensures telemetry proves business outcomes and detects silent degradation, not only process uptime and HTTP errors.
SkillAFreshness: A★ 1Claude Code +9 - 0.576score
database-change-safety
tinomupezeni
Safely plans and verifies schema changes, migrations, dirty-data cleanup, and cross-database preconditions.
SkillAFreshness: A★ 1Claude Code +9 - 0.576score
agent-engineering-pack
tinomupezeni
Agent-focused bundle for bounded tasks, safe delegation, contract verification, and production evidence.
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from tinomupezeni
- 0.584score
engineering-baseline
tinomupezeni
Default engineering control for agent work.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
issue-to-production
tinomupezeni
Runs the closed loop from defect discovery through root cause, regression proof, staging, production verification, and recurrence prevention.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
task-contract
tinomupezeni
Turns an ambiguous engineering request into a bounded, testable task contract for humans or coding agents.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
agent-delegation
tinomupezeni
Delegates engineering work with explicit scope, verification, standards, and evidence requirements.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
contract-integrity
tinomupezeni
Detects and prevents drift between backend routes, schemas, serializers, clients, fixtures, migrations, and test harnesses.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
production-engineering-pack
tinomupezeni
Production bundle combining baseline, issue, contract, deployment, data, configuration, observability, and security controls.
SkillAFreshness: A★ 1Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get distributed-consistency running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
distributed-consistency skill. Agent Mart. https://agentmart.dev/skills/tinomupezeni-distributed-consistency (last updated 2026-10-24)