managing-intelligence-lifecycle

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/managing-intelligence-lifecycle
0 commentsdiscussion
summary

Manages the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to ensure intelligence products meet stakeholder requirements and continuously improve. Use when establishing or maturing a CTI program, defining intelligence requirements with business stakeholders, or building feedback loops between intelligence consumers and producers. Activates for requests involving CTI program maturity, intelligence requirements, PIRs, or intelligence lifecycle management.

skill.md
name
managing-intelligence-lifecycle
description
'Manages the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to ensure intelligence products meet stakeholder requirements and continuously improve. Use when establishing or maturing a CTI program, defining intelligence requirements with business stakeholders, or building feedback loops between intelligence consumers and producers. Activates for requests involving CTI program maturity, intelligence requirements, PIRs, or intelligence lifecycle management. '
domain
cybersecurity
subdomain
threat-intelligence
tags
- CTI - intelligence-lifecycle - PIR - NIST-SP-800-150 - threat-intelligence-program - NIST-CSF
version
1.0.0
author
team-cybersecurity
license
Apache-2.0
nist_csf
- ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02

Managing Intelligence Lifecycle

When to Use

Use this skill when:

  • Establishing a formal CTI program and defining its operational model
  • Conducting quarterly intelligence requirements reviews with business stakeholders
  • Evaluating CTI program maturity against established frameworks (FIRST CTI-SIG maturity model)

Do not use this skill for day-to-day IOC triage or incident-specific intelligence tasks — those use operational intelligence workflows, not lifecycle management.

Prerequisites

  • Executive sponsorship and defined CTI team structure (1+ dedicated analysts)
  • Stakeholder map identifying intelligence consumers (SOC, IR, executive team, vulnerability management)
  • Existing feed subscriptions or ISAC memberships for collection baseline
  • CTI platform (MISP, ThreatConnect, OpenCTI) for lifecycle management

Workflow

Step 1: Planning and Direction

Define Priority Intelligence Requirements (PIRs) with stakeholders:

  • Interview SOC leads, IR team, CISO, risk management, and product security
  • Document PIRs in structured format: "What is the current capability and intent of [threat actor] to attack [critical asset] using [technique]?"
  • Prioritize 5–10 PIRs for the quarter, reviewed monthly

Example PIR: "Is ransomware group Cl0p currently targeting organizations in our sector using MoveIT or GoAnywhere vulnerabilities?"

Step 2: Collection Planning

Map PIRs to required collection sources:

  • Technical sources: commercial feeds, TAXII, ISAC data, honeypot telemetry, darkweb monitoring
  • Human sources: vendor threat briefings, industry working groups, law enforcement partnerships
  • Internal sources: SIEM logs, EDR telemetry, phishing submission mailbox

Document collection gaps and associated costs to fill them.

Step 3: Processing and Normalization

Implement automated processing pipeline:

  • Ingest → normalize to STIX 2.1 → deduplicate → enrich → score confidence
  • Reject unverifiable or duplicate indicators before analysis
  • Tag all processed data with source, collection date, and expiration

Step 4: Analysis and Production

Produce intelligence at three levels:

  • Strategic: Quarterly threat landscape report for executives; sector trends, geopolitical context
  • Operational: Weekly campaign reports for security leadership; active campaigns, adversary activity
  • Tactical: Daily IOC bulletins for SOC; actionable indicators with block/monitor recommendations

Apply structured analytic techniques: Analysis of Competing Hypotheses (ACH), Key Assumptions Check, Devil's Advocacy.

Step 5: Dissemination

Match product format to audience:

  • Executives: 1-page PDF with risk ratings, business impact, recommended decisions
  • SOC analysts: SIEM-ready IOC list, Sigma rules, MISP events
  • Vulnerability management: CVE lists with EPSS scores and exploitation likelihood
  • IT/Security leadership: Full intelligence report with technical appendix

Apply TLP classifications and distribution lists per product type.

Step 6: Feedback and Evaluation

Collect feedback within 5 business days of dissemination:

  • Did the product address the PIR?
  • Was actionability sufficient?
  • What data was missing?

Track metrics quarterly: PIR coverage rate, IOC true positive rate, time-to-disseminate, stakeholder satisfaction score (NPS or structured survey).

Key Concepts

TermDefinition
PIRPriority Intelligence Requirement — specific, actionable question driving intelligence collection and analysis
Intelligence LifecycleSix-phase iterative process: Planning → Collection → Processing → Analysis → Dissemination → Feedback
Strategic IntelligenceLong-term threat trend analysis for executive decision-making; time horizon 6–24 months
Operational IntelligenceCampaign-level analysis for security program decisions; time horizon 1–6 months
Tactical IntelligenceSpecific IOCs and TTPs for immediate detection and blocking; time horizon hours to days
FIRST CTI-SIGForum of Incident Response and Security Teams — CTI Special Interest Group maturity model

Tools & Systems

  • ThreatConnect: TIP with built-in intelligence lifecycle workflows, PIR tracking, and stakeholder reporting dashboards
  • MISP: Open-source TIP supporting intelligence lifecycle from collection through sharing
  • OpenCTI: Graph-based CTI platform with workflow management for intelligence products
  • Recorded Future: Commercial platform with structured intelligence reports aligned to the intelligence lifecycle

Common Pitfalls

  • Collection without direction: Ingesting every available feed without PIRs produces data overload and no actionable intelligence.
  • Missing feedback loops: Without structured feedback, CTI teams produce reports that don't meet stakeholder needs and lose organizational relevance.
  • Tactical-only focus: Overemphasis on IOC sharing neglects strategic intelligence that informs security investment and risk decisions.
  • No metrics program: Cannot demonstrate CTI program value without tracking detection contributions, true positive rates, and stakeholder satisfaction.
  • Underfunded collection: PIRs cannot be answered without appropriate collection sources; document and escalate gaps rather than producing low-confidence estimates.
how to use managing-intelligence-lifecycle

How to use managing-intelligence-lifecycle on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add managing-intelligence-lifecycle
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/managing-intelligence-lifecycle

The skills CLI fetches managing-intelligence-lifecycle from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/managing-intelligence-lifecycle

Reload or restart Cursor to activate managing-intelligence-lifecycle. Access the skill through slash commands (e.g., /managing-intelligence-lifecycle) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.645 reviews
  • Daniel Agarwal· Dec 28, 2024

    Useful defaults in managing-intelligence-lifecycle — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Benjamin Johnson· Dec 20, 2024

    managing-intelligence-lifecycle has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sophia Mehta· Dec 16, 2024

    We added managing-intelligence-lifecycle from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sophia Ghosh· Dec 16, 2024

    managing-intelligence-lifecycle reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 4, 2024

    Keeps context tight: managing-intelligence-lifecycle is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Nov 23, 2024

    managing-intelligence-lifecycle has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Gupta· Nov 19, 2024

    Registry listing for managing-intelligence-lifecycle matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Olivia Farah· Nov 15, 2024

    managing-intelligence-lifecycle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Agarwal· Nov 11, 2024

    Keeps context tight: managing-intelligence-lifecycle is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Daniel Ghosh· Nov 7, 2024

    I recommend managing-intelligence-lifecycle for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 45

1 / 5