2026-02-21 03:10:39 +00:00
# Claude Code Instructions
## Task Master AI Instructions
**Import Task Master's development workflow commands and guidelines, treat as if import is in the main CLAUDE.md file.**
@./.taskmaster/CLAUDE.md
2026-04-02 01:33:56 +01:00
## Skill routing
When the user's request matches an available skill, ALWAYS invoke it using the Skill
tool as your FIRST action. Do NOT answer directly, do NOT use other tools first.
The skill has specialized workflows that produce better results than ad-hoc answers.
Key routing rules:
- Product ideas, "is this worth building", brainstorming → invoke office-hours
- Bugs, errors, "why is this broken", 500 errors → invoke investigate
- Ship, deploy, push, create PR → invoke ship
- QA, test the site, find bugs → invoke qa
- Code review, check my diff → invoke review
- Update docs after shipping → invoke document-release
- Weekly retro → invoke retro
- Design system, brand → invoke design-consultation
- Visual audit, design polish → invoke design-review
- Architecture review → invoke plan-eng-review
- Save progress, checkpoint, resume → invoke checkpoint
- Code quality, health check → invoke health
feat(agents): smoke tests + README + docs (Stage 6, final)
Closes the agents feature.
Smoke tests (run via `pnpm test:smoke` against a live mcpd at
$MCPD_URL, default https://mcpctl.ad.itaz.eu):
* tests/smoke/agent.smoke.test.ts — full CRUD round-trip:
create secret + Llm + agent with sampling defaults; `get agents`
surfaces it; `get agent foo -o yaml | apply -f` round-trips
identically; create + list a thread via the HTTP API; agent delete
leaves Llm + secret intact (Restrict + SetNull as designed). Self-
skips with a warning when /healthz is unreachable.
* tests/smoke/agent-chat.smoke.test.ts — gated on
MCPCTL_SMOKE_LLM_URL + MCPCTL_SMOKE_LLM_KEY. Provisions secret +
Llm + agent against a real upstream, runs `mcpctl chat -m … --no-
stream` (asserts a reply lands), then runs the streaming default
(asserts text on stdout + `(thread: …)` on stderr). The fast path
for verifying the in-cluster qwen3-thinking deployment:
MCPCTL_SMOKE_LLM_URL=http://litellm.nvidia-nim.svc.cluster.local:4000/v1 \
MCPCTL_SMOKE_LLM_MODEL=qwen3-thinking \
MCPCTL_SMOKE_LLM_KEY=$(pulumi config get --stack homelab \
secrets:litellmMcpctlGatewayToken) \
pnpm test:smoke
Docs:
* README.md — new "Agents" section under Resources with the
qwen3-thinking quickstart and links to docs/agents.md and
docs/chat.md. Adds llm + agent rows to the resources table.
* docs/agents.md (new) — full reference: data model, chat-parameter
table, HTTP API, RBAC mapping, tool-use loop semantics, yaml
round-trip shorthand, the kubernetes-deployment wiring recipe,
and a troubleshooting section (namespace collision, llm-in-use,
pending-row recovery, Anthropic-tool limitation).
* docs/chat.md (new) — user-facing `mcpctl chat` walkthrough:
modes, per-call flags, slash-commands, threads, and a
troubleshooting section.
* CLAUDE.md — adds a "Resource types" cheatsheet with one-line
pointers to each, including the new `agent` row that links to
the docs.
All suites still green: mcpd 759/759, mcplocal 715/715, cli 430/430.
Smoke tests typecheck and self-skip when no live mcpd is reachable.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:08:37 +01:00
## Resource types
`mcpctl` resource cheatsheet:
- `server` — MCP server definition
- `instance` — running container (immutable, replicas-managed)
- `secret` / `secretbackend` — credentials
- `template` — reusable server blueprint
- `project` — workspace grouping servers, prompts, agents
- `llm` — server-managed LLM provider (api key + endpoint)
- `agent` — LLM persona pinned to one Llm; project attach surfaces project Prompts as system context, project MCP servers as tools, and exposes the agent itself as an MCP virtual server (`agent-<name>/chat` ). See `docs/agents.md` , `docs/chat.md` .
- `prompt` / `promptrequest` — curated content / pending proposal
- `rbac` — access control bindings
- `mcptoken` — bearer credentials for HTTP-mode mcplocal
