* chore: update gitignore for audit reports and playwright cache * fix: add YAML frontmatter (name + description) to all SKILL.md files - Added frontmatter to 34 skills that were missing it entirely (0% Tessl score) - Fixed name field format to kebab-case across all 169 skills - Resolves #284 * chore: sync codex skills symlinks [automated] * fix: optimize 14 low-scoring skills via Tessl review (#290) Tessl optimization: 14 skills improved from ≤69% to 85%+. Closes #285, #286. * chore: sync codex skills symlinks [automated] * fix: optimize 18 skills via Tessl review + compliance fix (closes #287) (#291) Phase 1: 18 skills optimized via Tessl (avg 77% → 95%). Closes #287. * feat: add scripts and references to 4 prompt-only skills + Tessl optimization (#292) Phase 2: 3 new scripts + 2 reference files for prompt-only skills. Tessl 45-55% → 94-100%. * feat: add 6 agents + 5 slash commands for full coverage (v2.7.0) (#293) Phase 3: 6 new agents (all 9 categories covered) + 5 slash commands. * fix: Phase 5 verification fixes + docs update (#294) Phase 5 verification fixes * chore: sync codex skills symlinks [automated] * fix: marketplace audit — all 11 plugins validated by Claude Code (#295) Marketplace audit: all 11 plugins validated + installed + tested in Claude Code * fix: restore 7 removed plugins + revert playwright-pro name to pw Reverts two overly aggressive audit changes: - Restored content-creator, demand-gen, fullstack-engineer, aws-architect, product-manager, scrum-master, skill-security-auditor to marketplace - Reverted playwright-pro plugin.json name back to 'pw' (intentional short name) * refactor: split 21 over-500-line skills into SKILL.md + references (#296) * chore: sync codex skills symlinks [automated] * docs: update all documentation with accurate counts and regenerated skill pages - Update skill count to 170, Python tools to 213, references to 314 across all docs - Regenerate all 170 skill doc pages from latest SKILL.md sources - Update CLAUDE.md with v2.1.1 highlights, accurate architecture tree, and roadmap - Update README.md badges and overview table - Update marketplace.json metadata description and version - Update mkdocs.yml, index.md, getting-started.md with correct numbers * fix: add root-level SKILL.md and .codex/instructions.md to all domains (#301) Root cause: CLI tools (ai-agent-skills, agent-skills-cli) look for SKILL.md at the specified install path. 7 of 9 domain directories were missing this file, causing "Skill not found" errors for bundle installs like: npx ai-agent-skills install alirezarezvani/claude-skills/engineering-team Fix: - Add root-level SKILL.md with YAML frontmatter to 7 domains - Add .codex/instructions.md to 8 domains (for Codex CLI discovery) - Update INSTALLATION.md with accurate skill counts (53→170) - Add troubleshooting entry for "Skill not found" error All 9 domains now have: SKILL.md + .codex/instructions.md + plugin.json Closes #301 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add Gemini CLI + OpenClaw support, fix Codex missing 25 skills Gemini CLI: - Add GEMINI.md with activation instructions - Add scripts/gemini-install.sh setup script - Add scripts/sync-gemini-skills.py (194 skills indexed) - Add .gemini/skills/ with symlinks for all skills, agents, commands - Remove phantom medium-content-pro entries from sync script - Add top-level folder filter to prevent gitignored dirs from leaking Codex CLI: - Fix sync-codex-skills.py missing "engineering" domain (25 POWERFUL skills) - Regenerate .codex/skills-index.json: 124 → 149 skills - Add 25 new symlinks in .codex/skills/ OpenClaw: - Add OpenClaw installation section to INSTALLATION.md - Add ClawHub install + manual install + YAML frontmatter docs Documentation: - Update INSTALLATION.md with all 4 platforms + accurate counts - Update README.md: "three platforms" → "four platforms" + Gemini quick start - Update CLAUDE.md with Gemini CLI support in v2.1.1 highlights - Update SKILL-AUTHORING-STANDARD.md + SKILL_PIPELINE.md with Gemini steps - Add OpenClaw + Gemini to installation locations reference table Marketplace: all 18 plugins validated — sources exist, SKILL.md present Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(product,pm): world-class product & PM skills audit — 6 scripts, 5 agents, 7 commands, 23 references/assets Phase 1 — Agent & Command Foundation: - Rewrite cs-project-manager agent (55→515 lines, 4 workflows, 6 skill integrations) - Expand cs-product-manager agent (408→684 lines, orchestrates all 8 product skills) - Add 7 slash commands: /rice, /okr, /persona, /user-story, /sprint-health, /project-health, /retro Phase 2 — Script Gap Closure (2,779 lines): - jira-expert: jql_query_builder.py (22 patterns), workflow_validator.py - confluence-expert: space_structure_generator.py, content_audit_analyzer.py - atlassian-admin: permission_audit_tool.py - atlassian-templates: template_scaffolder.py (Confluence XHTML generation) Phase 3 — Reference & Asset Enrichment: - 9 product references (competitive-teardown, landing-page-generator, saas-scaffolder) - 6 PM references (confluence-expert, atlassian-admin, atlassian-templates) - 7 product assets (templates for PRD, RICE, sprint, stories, OKR, research, design system) - 1 PM asset (permission_scheme_template.json) Phase 4 — New Agents: - cs-agile-product-owner, cs-product-strategist, cs-ux-researcher Phase 5 — Integration & Polish: - Related Skills cross-references in 8 SKILL.md files - Updated product-team/CLAUDE.md (5→8 skills, 6→9 tools, 4 agents, 5 commands) - Updated project-management/CLAUDE.md (0→12 scripts, 3 commands) - Regenerated docs site (177 pages), updated homepage and getting-started Quality audit: 31 files reviewed, 29 PASS, 2 fixed (copy-frameworks.md, governance-framework.md) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: audit and repair all plugins, agents, and commands - Fix 12 command files: correct CLI arg syntax, script paths, and usage docs - Fix 3 agents with broken script/reference paths (cs-content-creator, cs-demand-gen-specialist, cs-financial-analyst) - Add complete YAML frontmatter to 5 agents (cs-growth-strategist, cs-engineering-lead, cs-senior-engineer, cs-financial-analyst, cs-quality-regulatory) - Fix cs-ceo-advisor related agent path - Update marketplace.json metadata counts (224 tools, 341 refs, 14 agents, 12 commands) Verified: all 19 scripts pass --help, all 14 agent paths resolve, mkdocs builds clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: repair 25 Python scripts failing --help across all domains - Fix Python 3.10+ syntax (float | None → Optional[float]) in 2 scripts - Add argparse CLI handling to 9 marketing scripts using raw sys.argv - Fix 10 scripts crashing at module level (wrap in __main__, add argparse) - Make yaml/prefect/mcp imports conditional with stdlib fallbacks (4 scripts) - Fix f-string backslash syntax in project_bootstrapper.py - Fix -h flag conflict in pr_analyzer.py - Fix tech-debt.md description (score → prioritize) All 237 scripts now pass python3 --help verification. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(product-team): close 3 verified gaps in product skills - Fix competitive-teardown/SKILL.md: replace broken references DATA_COLLECTION.md → references/data-collection-guide.md and TEMPLATES.md → references/analysis-templates.md (workflow was broken at steps 2 and 4) - Upgrade landing_page_scaffolder.py: add TSX + Tailwind output format (--format tsx) matching SKILL.md promise of Next.js/React components. 4 design styles (dark-saas, clean-minimal, bold-startup, enterprise). TSX is now default; HTML preserved via --format html - Rewrite README.md: fix stale counts (was 5 skills/15+ tools, now accurately shows 8 skills/9 tools), remove 7 ghost scripts that never existed (sprint_planner.py, velocity_tracker.py, etc.) - Fix tech-debt.md description (score → prioritize) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * release: v2.1.2 — landing page TSX output, brand voice integration, docs update - Landing page generator defaults to Next.js TSX + Tailwind CSS (4 design styles) - Brand voice analyzer integrated into landing page generation workflow - CHANGELOG, CLAUDE.md, README.md updated for v2.1.2 - All 13 plugin.json + marketplace.json bumped to 2.1.2 - Gemini/Codex skill indexes re-synced - Backward compatible: --format html preserved, no breaking changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: alirezarezvani <5697919+alirezarezvani@users.noreply.github.com> Co-authored-by: Leo <leo@openclaw.ai> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
157 lines
6.9 KiB
Python
157 lines
6.9 KiB
Python
#!/usr/bin/env python3
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"""Track campaign status across marketing skills — tasks, owners, deadlines."""
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import json
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import sys
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from datetime import datetime, timedelta
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from pathlib import Path
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SAMPLE_CAMPAIGN = {
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"name": "Q1 Product Launch",
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"created": "2026-03-01",
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"status": "in_progress",
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"skills_used": [],
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"tasks": [
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{"skill": "marketing-context", "task": "Update context for new feature", "owner": "Marketing", "deadline": "2026-03-03", "status": "complete"},
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{"skill": "launch-strategy", "task": "Plan launch phases", "owner": "PMM", "deadline": "2026-03-05", "status": "complete"},
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{"skill": "content-strategy", "task": "Plan content calendar", "owner": "Content", "deadline": "2026-03-07", "status": "in_progress"},
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{"skill": "copywriting", "task": "Write landing page copy", "owner": "Copywriter", "deadline": "2026-03-10", "status": "not_started"},
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{"skill": "email-sequence", "task": "Write launch email sequence", "owner": "Email", "deadline": "2026-03-10", "status": "not_started"},
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{"skill": "social-content", "task": "Create social media posts", "owner": "Social", "deadline": "2026-03-12", "status": "not_started"},
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{"skill": "paid-ads", "task": "Set up ad campaigns", "owner": "Paid", "deadline": "2026-03-12", "status": "not_started"},
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{"skill": "ad-creative", "task": "Generate ad variations", "owner": "Creative", "deadline": "2026-03-11", "status": "not_started"},
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{"skill": "analytics-tracking", "task": "Set up conversion tracking", "owner": "Analytics", "deadline": "2026-03-08", "status": "in_progress"},
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{"skill": "seo-audit", "task": "Optimize landing page SEO", "owner": "SEO", "deadline": "2026-03-09", "status": "not_started"},
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]
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}
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def analyze_campaign(campaign: dict) -> dict:
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"""Analyze campaign status and generate report."""
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tasks = campaign["tasks"]
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today = datetime.now().strftime("%Y-%m-%d")
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complete = [t for t in tasks if t["status"] == "complete"]
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in_progress = [t for t in tasks if t["status"] == "in_progress"]
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not_started = [t for t in tasks if t["status"] == "not_started"]
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overdue = [t for t in tasks if t["deadline"] < today and t["status"] != "complete"]
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due_soon = [t for t in tasks if today <= t["deadline"] <= (datetime.now() + timedelta(days=3)).strftime("%Y-%m-%d") and t["status"] != "complete"]
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total = len(tasks)
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progress = round((len(complete) / total) * 100) if total > 0 else 0
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# Skills coverage
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skills_used = list(set(t["skill"] for t in tasks))
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pods_covered = set()
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pod_map = {
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"content": ["content-strategy", "copywriting", "copy-editing", "social-content", "marketing-ideas", "content-production", "content-humanizer", "content-creator"],
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"seo": ["seo-audit", "programmatic-seo", "ai-seo", "schema-markup", "site-architecture"],
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"cro": ["page-cro", "form-cro", "signup-flow-cro", "onboarding-cro", "popup-cro", "paywall-upgrade-cro"],
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"channels": ["email-sequence", "cold-email", "paid-ads", "ad-creative", "social-media-manager"],
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"growth": ["ab-test-setup", "referral-program", "free-tool-strategy", "churn-prevention"],
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"intelligence": ["campaign-analytics", "analytics-tracking", "competitor-alternatives", "marketing-psychology"],
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"gtm": ["launch-strategy", "pricing-strategy"]
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}
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for pod, skills in pod_map.items():
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if any(s in skills_used for s in skills):
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pods_covered.add(pod)
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# Blockers
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blockers = []
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for t in tasks:
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if t["status"] == "not_started":
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# Check if any dependency is incomplete
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deps = [d for d in tasks if d["deadline"] < t["deadline"] and d["status"] != "complete"]
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if deps:
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blocker_names = [d["task"] for d in deps if d["status"] != "complete"]
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if blocker_names:
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blockers.append({"task": t["task"], "blocked_by": blocker_names[0]})
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return {
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"campaign": campaign["name"],
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"progress": progress,
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"total_tasks": total,
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"complete": len(complete),
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"in_progress": len(in_progress),
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"not_started": len(not_started),
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"overdue": [{"task": t["task"], "deadline": t["deadline"], "owner": t["owner"]} for t in overdue],
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"due_soon": [{"task": t["task"], "deadline": t["deadline"], "owner": t["owner"]} for t in due_soon],
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"pods_covered": sorted(pods_covered),
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"pods_missing": sorted(set(pod_map.keys()) - pods_covered),
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"skills_used": sorted(skills_used),
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"blockers": blockers
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}
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def print_report(analysis: dict):
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"""Print human-readable campaign status."""
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print(f"\n{'='*55}")
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print(f"CAMPAIGN: {analysis['campaign']}")
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print(f"{'='*55}")
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bar_len = 30
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filled = round(bar_len * analysis["progress"] / 100)
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bar = "█" * filled + "░" * (bar_len - filled)
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print(f"\nProgress: [{bar}] {analysis['progress']}%")
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print(f"Tasks: {analysis['complete']} done / {analysis['in_progress']} active / {analysis['not_started']} pending")
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if analysis["overdue"]:
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print(f"\n🔴 OVERDUE ({len(analysis['overdue'])}):")
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for t in analysis["overdue"]:
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print(f" → {t['task']} (due {t['deadline']}, owner: {t['owner']})")
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if analysis["due_soon"]:
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print(f"\n🟡 DUE SOON ({len(analysis['due_soon'])}):")
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for t in analysis["due_soon"]:
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print(f" → {t['task']} (due {t['deadline']}, owner: {t['owner']})")
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if analysis["blockers"]:
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print(f"\n⚠️ BLOCKERS:")
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for b in analysis["blockers"]:
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print(f" → {b['task']} blocked by: {b['blocked_by']}")
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print(f"\n📦 Pods covered: {', '.join(analysis['pods_covered'])}")
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if analysis["pods_missing"]:
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print(f" Missing: {', '.join(analysis['pods_missing'])}")
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print(f"\n🔧 Skills used: {', '.join(analysis['skills_used'])}")
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print(f"{'='*55}")
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def main():
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import argparse
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parser = argparse.ArgumentParser(
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description="Track campaign status across marketing skills — tasks, owners, deadlines."
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)
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parser.add_argument(
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"input_file", nargs="?", default=None,
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help="JSON file with campaign data (default: run with sample data)"
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)
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parser.add_argument(
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"--json", action="store_true",
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help="Also output results as JSON"
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)
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args = parser.parse_args()
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if args.input_file:
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filepath = Path(args.input_file)
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if filepath.exists():
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campaign = json.loads(filepath.read_text())
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else:
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print(f"Error: {filepath} not found", file=sys.stderr)
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sys.exit(1)
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else:
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campaign = SAMPLE_CAMPAIGN
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print("[Using sample campaign data — pass a JSON file for real tracking]")
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analysis = analyze_campaign(campaign)
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print_report(analysis)
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if args.json:
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print(f"\n{json.dumps(analysis, indent=2)}")
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if __name__ == "__main__":
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main()
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