Agent Skill
2/7/2026

algorithm

Universal 7-phase execution pattern for all work. USE WHEN starting complex tasks, needing structured approach, defining success criteria, or tracking work phases.

R
robdtaylor
0GitHub Stars
1Views
npx skills add robdtaylor/personal-ai-infrastructure

SKILL.md

Namealgorithm
DescriptionUniversal 7-phase execution pattern for all work. USE WHEN starting complex tasks, needing structured approach, defining success criteria, or tracking work phases.

name: Algorithm description: Universal 7-phase execution pattern for all work. USE WHEN starting complex tasks, needing structured approach, defining success criteria, or tracking work phases.

The Algorithm

A universal 7-phase scientific methodology for approaching any task—from fixing typos to building systems. Every interaction generates learning signals that feed back into continuous improvement.

Philosophy: Define success BEFORE execution. Verify AFTER completion. Learn ALWAYS.

The Seven Phases

1. OBSERVE

Purpose: Gather context and understand current state.

Actions:

  • Read relevant files and documentation
  • Search codebase for patterns
  • Understand existing architecture
  • Document constraints and dependencies
  • Identify what already exists

Signals: Tool use patterns (Read, Glob, Grep dominant)

Questions to answer:

  • What exists currently?
  • What are the constraints?
  • What are the dependencies?
  • What has been tried before?

2. THINK

Purpose: Generate potential solutions—multiple approaches, not just the first idea.

Actions:

  • Brainstorm at least 2-3 approaches
  • Consider trade-offs for each
  • Evaluate feasibility and complexity
  • Identify risks and unknowns
  • Challenge assumptions

Signals: Extended reasoning, multiple options presented

Questions to answer:

  • What are the possible approaches?
  • What are the trade-offs?
  • What could go wrong?
  • What assumptions am I making?

3. PLAN

Purpose: Select approach and sequence the work.

Actions:

  • Choose the best approach with rationale
  • Break into concrete steps
  • Identify checkpoints and milestones
  • Note potential blockers
  • Set the order of operations

Signals: TodoWrite usage, step enumeration

Questions to answer:

  • What's the order of operations?
  • What are the milestones?
  • Where might I need to pivot?
  • What's the minimal viable path?

4. BUILD (Define Success)

Purpose: Create Ideal State Criteria (ISC) table BEFORE execution.

Actions:

  • Define measurable success criteria
  • Set pass/fail thresholds
  • Specify verification methods
  • Document expected outcomes
  • Create ISC table

Output: ISC Table (see Workflows/isc-table.md)

Questions to answer:

  • How will I know this worked?
  • What's the measurable outcome?
  • What tests prove success?
  • What would failure look like?

5. EXECUTE

Purpose: Perform the work according to the plan.

Actions:

  • Follow the planned steps
  • Use appropriate tools and agents
  • Log progress and deviations
  • Capture unexpected findings
  • Adapt to obstacles (but note why)

Signals: Write, Edit, Bash tool usage

Questions to answer:

  • Am I following the plan?
  • What deviations occurred and why?
  • What unexpected findings emerged?

6. VERIFY

Purpose: Test against ISC criteria with skeptical evaluation.

Actions:

  • Run all verification methods from ISC
  • Document pass/fail for each criterion
  • Identify gaps or partial passes
  • Get external validation if needed
  • Be skeptical—look for what might be wrong

Signals: Test commands, validation runs

Questions to answer:

  • Does each criterion pass?
  • What edge cases exist?
  • Would a skeptic accept this?
  • What could still be wrong?

7. LEARN

Purpose: Extract insights and iterate.

Actions:

  • Document what worked and what didn't
  • Capture insights for future reference
  • Identify patterns (positive and negative)
  • Update personal knowledge base
  • Generate improvement signals

Output: Learning entry in MEMORY/Learning/[PHASE]/

Questions to answer:

  • What worked well?
  • What should I do differently?
  • What patterns emerged?
  • What should I remember?

Effort Classification

Classify tasks by effort to calibrate the depth of algorithm application:

LevelDescriptionAlgorithm Depth
TRIVIALSingle action, obvious approachSkip to EXECUTE
SIMPLEFew steps, clear pathLight PLAN → EXECUTE → VERIFY
MODERATEMultiple steps, some decisionsFull algorithm, brief phases
COMPLEXMany steps, significant decisionsFull algorithm, thorough phases
DETERMINEDNovel problem, research requiredFull algorithm with iteration

Phase Transitions

OBSERVE → THINK: When you understand the current state well enough to generate options.

THINK → PLAN: When you've identified at least 2 viable approaches and can justify your choice.

PLAN → BUILD: When you have concrete steps and need to define what success looks like.

BUILD → EXECUTE: When ISC table is complete and you know exactly what to build.

EXECUTE → VERIFY: When implementation is complete (not when you think it's done—when the code is written).

VERIFY → LEARN: When all ISC criteria have been evaluated (pass or fail).

LEARN → (Loop): When insights suggest iteration is needed, return to appropriate phase.


Integration with Learning Signals

Every algorithm execution generates signals:

  • Phase tracking: Current phase stored in MEMORY/State/algorithm-state.json
  • Ratings: Quality rating (1-5) captured at session end
  • Patterns: Tool sequences fingerprinted for recurring behavior
  • Failures: Categorized for root cause analysis

Workflows

  • Workflows/isc-table.md - Creating Ideal State Criteria tables
  • Workflows/execute-algorithm.md - Full algorithm execution template
  • Workflows/phase-checklist.md - Quick checklist for each phase

Examples

Example 1: Bug fix (SIMPLE)

User: "Fix the null pointer in auth.ts line 42"
→ OBSERVE: Read auth.ts, understand the null case
→ PLAN: Add null check before access
→ EXECUTE: Edit the file
→ VERIFY: Run tests
→ LEARN: Note the pattern for future

Example 2: New feature (COMPLEX)

User: "Add dark mode support"
→ OBSERVE: Check existing theme system, CSS architecture
→ THINK: CSS variables vs styled-components vs Tailwind dark:
→ PLAN: 1) Add theme context, 2) Create toggle, 3) Update components
→ BUILD: ISC table with criteria for each component
→ EXECUTE: Implement step by step
→ VERIFY: Test toggle, persistence, all components
→ LEARN: Document theme system patterns

Example 3: Research task (DETERMINED)

User: "Investigate why builds are slow"
→ OBSERVE: Profile build, check configs, review recent changes
→ THINK: Could be dependencies, could be config, could be CI
→ PLAN: Profile locally, then CI, then compare
→ BUILD: ISC = "Identify root cause with evidence"
→ EXECUTE: Run profiling, collect data
→ VERIFY: Can we reproduce? Is evidence clear?
→ LEARN: Document findings, recommend fixes
Skills Info
Original Name:algorithmAuthor:robdtaylor