ranbot-ai/progressive-estimation
skills/progressive-estimation/SKILL.md
Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
$ install --global
skillsauthnpx skillsauth add ranbot-ai/awesome-skills progressive-estimationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 2, 2026, 5:29 AM113.8s1 file scanned
SKILL.md
- name:
- progressive-estimation
- description:
- Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
- category:
- Development & Code Tools
- source:
- antigravity
- tags:
- [api, claude, ai, agent, workflow]
- url:
- https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/progressive-estimation
Progressive Estimation
Estimate AI-assisted and hybrid human+agent development work using research-backed formulas with PERT statistics, confidence bands, and calibration feedback loops.
Overview
Progressive Estimation adapts to your team's working mode — human-only, hybrid, or agent-first — applying the right velocity model and multipliers for each. It produces statistical estimates rather than gut feelings.
When to Use This Skill
- Estimating development tasks where AI agents handle part of the work
- Sprint planning with hybrid human+agent teams
- Batch sizing a backlog (handles 5 or 500 issues)
- Staffing and capacity planning with agent multipliers
- Release date forecasting with confidence intervals
How It Works
- Mode Detection — Determines if the team works human-only, hybrid, or agent-first
- Task Classification — Categorizes by size (XS–XL), complexity, and risk
- Formula Application — Applies research-backed multipliers grounded in empirical studies
- PERT Calculation — Produces expected values using three-point estimation
- Confidence Bands — Generates P50, P75, P90 intervals
- Output Formatting — Formats for Linear, JIRA, ClickUp, GitHub Issues, Monday, or GitLab
- Calibration — Feeds back actuals to improve future estimates
Examples
Single task:
"Estimate building a REST API with authentication using Claude Code"
Batch mode:
"Estimate these 12 JIRA tickets for our next sprint"
With context:
"We have 3 developers using AI agents for ~60% of implementation. Estimate this feature."
Best Practices
- Start with a single task to calibrate before moving to batch mode
- Feed back actual completion times to improve the calibration system
- Use "instant mode" for quick T-shirt sizing without full PERT analysis
- Be explicit about team composition and agent usage percentage
Common Pitfalls
-
Problem: Overconfident estimates Solution: Use P75 or P90 for commitments, not P50
-
Problem: Missing context Solution: The skill asks clarifying questions — provide team size and agent usage
-
Problem: Stale calibration Solution: Re-calibrate when team composition or tooling changes significantly
Related Skills
@sprint-planning- Sprint planning and backlog management@project-management- General project management workflows@capacity-planning- Team velocity and capacity planning
Additional Resources
- Source Repository
- Installation Guide
- Research References
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Related Skills
ranbot-ai/grok-delegate
tools
VerifiedTrustedCommunity
Delegate coding tasks to the Grok Build CLI only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
6SKILL.mdUpdated Aug 31, 2026
ranbot-ai/skills/graceful-shutdown
development
VerifiedTrustedCommunity
--- name: graceful-shutdown description: Implement graceful shutdown for servers and workers: drain connections, finish in-flight work, release resources, and exit cleanly on SIGTERM/SIGINT. category: AI & Agents source: antigravity tags: [python, typescript, node, api, claude, ai, template, docker, kubernetes] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/graceful-shutdown --- # Graceful Shutdown ## Overview A skill for implementing graceful shutdown in server
6SKILL.mdUpdated Aug 31, 2026
ranbot-ai/skills/falsify
development
VerifiedTrustedCommunity
--- name: falsify description: The scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated co category: Creative & Media source: antigravity tags: [markdown, claude, ai, agent, llm, template, design, security, rag, cro] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/falsify --- # Falsify — The Scientific Thinking Protocol > Think like
6SKILL.mdUpdated Aug 31, 2026
ranbot-ai/delegate-setup
tools
VerifiedTrustedCommunity
Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.
6SKILL.mdUpdated Aug 31, 2026