بنقرة واحدة
agentic-portfolio
Initiative-level portfolio management with dependency tracking and milestone coordination
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Initiative-level portfolio management with dependency tracking and milestone coordination
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time
Andrej Karpathy's coding guidelines for AI agents — concise, correct, and well-tested code
| name | agentic-portfolio |
| description | Initiative-level portfolio management with dependency tracking and milestone coordination |
Initiative-level portfolio management (agents/portfolio.py) that sits one level
above agentic-agile. Ranks initiatives (epics) with WSJF (Weighted Shortest
Job First), allocates finite team capacity, lays work onto a Now/Next/Later
roadmap, and rolls sprint delivery progress up from agentic-agile.
from agents.portfolio import PortfolioManager
from agents.agile_sprints import AgileManager
pf = PortfolioManager()
pf.add_initiative("Checkout v2", business_value=8, time_criticality=5, risk_reduction=3, job_size=4)
pf.add_initiative("Search relevance", business_value=5, time_criticality=2, risk_reduction=2, job_size=8)
ranked = pf.prioritized() # highest WSJF first
alloc = pf.allocate_capacity(capacity=8) # what fits this increment
roadmap = pf.plan_roadmap(capacity_per_horizon=8) # Now / Next / Later
# Roll delivery up from the agile sprints that implement each initiative
am = AgileManager()
sprint = am.create_sprint("Sprint 5")
pf.link_sprint(ranked[0].initiative_id, sprint.sprint_id)
progress = pf.rollup_progress(am)
WSJF = Cost of Delay / Job Size, where
Cost of Delay = business_value + time_criticality + risk_reduction.
Higher WSJF is scheduled sooner. Use a relative scale (modified Fibonacci:
1, 2, 3, 5, 8, 13, 20) for each component.
prioritized(), allocate_capacity(), plan_roadmap(), rollup_progress(), metrics()add_initiative, prioritize, allocate_capacity, roadmap, get_metrics.
python -m pytest tests/test_portfolio.py -v
agentic-agile (sprint/story level — the layer below)portfolio (Portfolio Manager)