refactor: implement three-layer agent architecture (agents / prompts / skills)

Layer 1 — src/agents/ (thin agent definitions, no prompt text)
  registry.ts   — AgentConfig, registerAgent(), getAgent(), AGENTS proxy, pick()
  orchestrator.ts, coder.ts, pm.ts, marketing.ts — one file each, just metadata + tool picks
  index.ts      — barrel: imports prompts then agents (correct registration order)

Layer 2 — src/prompts/ (prompt text separated from agent logic)
  loader.ts     — registerPrompt(), resolvePrompt() with {{variable}} substitution
  orchestrator.ts, coder.ts, pm.ts, marketing.ts — prompt templates as registered strings
  orchestrator.ts now uses resolvePrompt('orchestrator', { knowledge }) instead of
  inline SYSTEM_PROMPT const; {{knowledge}} variable injects project memory cleanly.
  agent-runner.ts uses resolvePrompt(config.promptId) per agent turn.

Layer 3 — src/tools/skills.ts (new skills capability)
  list_skills(repo)      — lists .skills/<name>/SKILL.md directories from a Gitea repo
  get_skill(repo, name)  — reads and returns the markdown body of a skill file
  Orchestrator and all agents now have get_skill in their tool sets.
  Orchestrator also has list_skills and references skills in its prompt.

Also fixed:
  - server.ts now passes history + knowledge_context from request body to orchestratorChat()
    (these were being sent by the frontend but silently dropped)
  - server.ts imports PROTECTED_GITEA_REPOS from tools/security.ts (no more duplicate)
  - Deleted src/agents.ts (replaced by src/agents/ directory)

Made-with: Cursor

dist/tools/skills.js

@@ -0,0 +1,60 @@
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+const registry_1 = require("./registry");
+const SKILL_FILE = 'SKILL.md';
+const SKILLS_DIR = '.skills';
+async function giteaGetContents(repo, path, ctx) {
+    const res = await fetch(`${ctx.gitea.apiUrl}/api/v1/repos/${repo}/contents/${path}`, {
+        headers: { 'Authorization': `token ${ctx.gitea.apiToken}` }
+    });
+    if (!res.ok)
+        return null;
+    return res.json();
+}
+(0, registry_1.registerTool)({
+    name: 'list_skills',
+    description: `List available skills for a project repo. Skills are stored in .skills/<name>/SKILL.md and provide reusable instructions the agent should follow (e.g. deploy process, test commands, code conventions).`,
+    parameters: {
+        type: 'object',
+        properties: {
+            repo: { type: 'string', description: 'Repo in "owner/name" format' }
+        },
+        required: ['repo']
+    },
+    async handler(args, ctx) {
+        const repo = String(args.repo);
+        const contents = await giteaGetContents(repo, SKILLS_DIR, ctx);
+        if (!contents || !Array.isArray(contents)) {
+            return { skills: [], message: `No .skills/ directory found in ${repo}` };
+        }
+        const skills = contents
+            .filter((entry) => entry.type === 'dir')
+            .map((entry) => ({ name: entry.name, path: entry.path }));
+        return { repo, skills };
+    }
+});
+(0, registry_1.registerTool)({
+    name: 'get_skill',
+    description: `Read the full content of a specific skill from a project repo. Call list_skills first to see what's available. Use this before spawning agents so they have the relevant project-specific instructions.`,
+    parameters: {
+        type: 'object',
+        properties: {
+            repo: { type: 'string', description: 'Repo in "owner/name" format' },
+            skill_name: { type: 'string', description: 'Skill name (directory name inside .skills/)' }
+        },
+        required: ['repo', 'skill_name']
+    },
+    async handler(args, ctx) {
+        const repo = String(args.repo);
+        const skillName = String(args.skill_name);
+        const filePath = `${SKILLS_DIR}/${skillName}/${SKILL_FILE}`;
+        const file = await giteaGetContents(repo, filePath, ctx);
+        if (!file || !file.content) {
+            return { error: `Skill "${skillName}" not found in ${repo}. Try list_skills to see available skills.` };
+        }
+        const content = Buffer.from(file.content, 'base64').toString('utf8');
+        // Strip YAML frontmatter if present, return just the markdown body
+        const body = content.replace(/^---[\s\S]*?---\s*/m, '').trim();
+        return { repo, skill: skillName, content: body };
+    }
+});