Stats
Actions
Tags
From opskit
List recent deployments and their status for a customer environment. Use when the user needs to check what was deployed recently, verify deployment success, or investigate deployment failures.
How this skill is triggered — by the user, by Claude, or both
Slash command
/opskit:list-deploymentsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
View recent deployments and their status for customer environments.
View recent deployments and their status for customer environments.
bootstrap.py setuppython3 ${CLAUDE_PLUGIN_ROOT}/scripts/bootstrap.py check ado to verify readiness# List recent deployments for a customer
python3 ${CLAUDE_PLUGIN_ROOT}/skills/list-deployments/scripts/list_deployments.py \
--action list \
--customer "customer-abc" \
--top 10
# List deployments for a specific environment
python3 ${CLAUDE_PLUGIN_ROOT}/skills/list-deployments/scripts/list_deployments.py \
--action list \
--customer "customer-abc" \
--environment "production" \
--top 10
# Get details of a specific deployment
python3 ${CLAUDE_PLUGIN_ROOT}/skills/list-deployments/scripts/list_deployments.py \
--action details \
--deployment-id "12345"
# List only failed deployments
python3 ${CLAUDE_PLUGIN_ROOT}/skills/list-deployments/scripts/list_deployments.py \
--action list \
--customer "customer-abc" \
--status failed
| Action | Description |
|---|---|
list | List recent deployments with optional filters |
details | Get detailed info for a specific deployment |
npx claudepluginhub talxis/tools-opskit-cli --plugin opskitSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.