Files
fn_registry/dev/issues/completed/0109a-skill-tree-shell-parsers.md
T
egutierrez b9716a7cd6 chore: snapshot WIP previo + flow 0008 + 7 sub-issues (0112-0119)
Snapshot de WIP acumulado de sesiones previas antes de merge wave 1
del flow 0008 (kanban_cpp + agent_runner_api + DoD schema).

Incluye:
- dev/flows/0008-kanban-cpp-and-agent-workflows.md
- dev/issues/0112-0119*.md (7 sub-issues)
- WIP previo en cmd/fn/doctor.go, registry/*, modules/, cpp/, etc.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 18:17:08 +02:00

2.2 KiB

id, title, status, type, domain, scope, priority, depends, blocks, related, created, updated, tags
id title status type domain scope priority depends blocks related created updated tags
0109a skill_tree app shell + parsers issues/flows completado feature
meta
cpp-stack
app-scoped media
0109b
0109
2026-05-17 2026-05-17
skill-tree
cpp
imgui
parsers

0109a — skill_tree shell + parsers

Primer slice del epic 0109. Foco: app C++ scaffoldada, compilando, leyendo los 79 issues + 7 flows y reportando conteos en stdout. Sin render del grafo todavia — solo plumbing.

Tareas

  1. Scaffolder ./fn run init_cpp_app skill_tree --domain tools --desc "..." --tags "dashboard,meta".
  2. Editar app.md generado: trio icon (tree-structure, #c026d3), e2e_checks, uses_functions iniciales.
  3. Generar appicon.ico via generate_app_icon_py_infra.
  4. Crear funcion parse_md_frontmatter_cpp_core (delegar a fn-constructor):
    • Input: std::string content (texto del .md completo).
    • Output: MdFrontmatter struct con std::unordered_map<std::string, YamlValue> y std::string body.
    • YamlValue = variant {string, list<string>, null}. Subset YAML suficiente para issues actuales.
    • Pure. Test golden: parsea los 79 issues + 7 flows sin error.
  5. En main.cpp (scaffold inicial): al arrancar, scan dev/issues/*.md + dev/flows/*.md, parse cada uno, contar por status/domain. Log a stdout:
    skill_tree v0.1.0
    issues: 79 (28 pendiente, 3 in-progress, 72 completado, ...)
    flows:  7 (5 pending, 2 completed)
    parse errors: 0
    
  6. e2e_checks build + self-test warning.
  7. Compilar + deploy Windows via redeploy_cpp_app_windows.
  8. Refrescar hub via refresh_app_hub.

DoD

  • App existe en apps/skill_tree/ con .git/ apuntando a dataforge/skill_tree.
  • app.md con trio completo + e2e_checks + uses_functions declarados.
  • appicon.ico generado.
  • fn index exitoso, mcp__registry__fn_show id="skill_tree" muestra metadata.
  • parse_md_frontmatter_cpp_core indexado en registry.
  • cmake --build cpp/build --target skill_tree exitoso.
  • ./skill_tree (Linux) o skill_tree.exe (Windows) imprime conteos correctos.
  • Tarjeta visible en app_hub_launcher.
  • fn doctor cpp-apps limpio.