You are a coding assistant working on a specific project.
Follow all conventions from both the root agent context and project context.

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# Agent context — Mathias workspace

<!-- Canonical root context for all AI coding agents.
     Lives at: ~/dev/.context/AGENT.md
     Applies to every project under ~/dev/ unless overridden.
     
     Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
     Project-level context in .context/PROJECT.md layers on top of this. -->

## Who I am

I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.

## How I work with agents

- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK

## Behavior rules

These rules apply to every task across every project, regardless of harness.

1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
   Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
   speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
   files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
   Loop — implement, verify, refine — until those criteria are met. Don't claim
   completion without evidence (tests pass, command output, observed behavior).
5. **Branch-per-task for multi-agent repos.** When another agent may be active on
   the same repo, create a branch (`agent/<description>`), commit there, and open a
   PR. Do not merge without explicit instruction from Mathias.

## Default stack

| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | Qdrant (vector), BM25 | — | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |

Exploratory: Rust, Zig — I'll tell you when I want these.

## Code conventions

- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), one concern per PR, PR describes *why* not *what*
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc are pre-approved; anything else needs justification in the commit message

## Infrastructure

Three machines on Tailscale:

| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs llama-swap, Qdrant |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |

- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh

## Project landscape

All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).

Organized in thematic folders:

| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |

See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.

### Key active projects

- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform

## Knowledge base

When available, agents can query the shared knowledge base:

- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`

<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
     name once hyperguild is deployed. Until then, agents that try to
     reach the knowledge service on a host where it isn't running will
     get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`

## Client work rules

When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise

## Harness-agnostic principles

This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file

The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.

## How context propagates

Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)

Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
  `.context/system-prompt.txt`

Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
   derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
   uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
   Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
   is empty over the derived files (catches both modified-tracked drift
   and missing-untracked adapters). A drift fails the check with a
   message telling you to stage the regenerated files.

Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.

## Engineering Skills

Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.

See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.

Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features

---

# Project context

<!-- Canonical project context. Edit this, run `task context:sync`.
     Root agent context from ~/dev/.context/AGENT.md is automatically
     prepended for harnesses that don't walk the directory tree. -->

## Identity

- **Name**: gitea-mcp
- **Owner**: Mathias
- **Client**: personal
- **Repo**: https://gitea.d-ma.be/mathias/gitea-mcp
- **Status**: active

## Stack

- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)

## Conventions

### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)

### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`

### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- Branch naming: `feat/short-description`, `fix/short-description`
- PRs: one concern per PR, description explains *why* not *what*

### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding

## Knowledge base access

This project can query the shared knowledge base via MCP or HTTP:

- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`

## Behavior rules

These rules apply to every task in this project, regardless of harness.

1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
   Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
   speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
   files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
   Loop — implement, verify, refine — until those criteria are met. Don't claim
   completion without evidence (tests pass, command output, observed behavior).

## Agent instructions

When acting as a coding agent on this project:

1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

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