pathfinder
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture
Install / Use
npx skills add thedotmack/claude-mem --skill pathfinderInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of pathfinder
pathfinder scores 92/100 on our quality scale, 102nd of 1,453 Development & Engineering skills we index (top 8%).
Its SKILL.md is 6.0 KB long, well organised into 12 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 94,599 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so pathfinder is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
pathfinder compared with similar skills
All 4 of these similar skills score higher than pathfinder; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pathfinder (this skill)by thedotmack | 92 | 94.6k | today | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 43.9k | 3d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 5d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
Frequently asked questions
- How do I install pathfinder?
- Run
npx skills add thedotmack/claude-mem --skill pathfinder. The install tabs above show the steps for each supported agent. - Which AI agents does pathfinder work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pathfinder safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pathfinder still maintained?
- The repository was last updated today, so pathfinder is actively maintained.
Skill content
View source on GitHubname: pathfinder description: Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Pathfinder
You are an ORCHESTRATOR. Map the codebase into feature-grouped flowcharts, identify duplicated concerns, propose the simplest unified architecture, and hand off per-system plans to /make-plan.
You do not write implementation code. You produce diagrams, a duplication report, a proposed unified flowchart, and handoff prompts.
Delegation Model
Use subagents for discovery and extraction (file reading, flow tracing, grep, diagramming). Keep synthesis (deciding feature boundaries, picking unification strategies, final flowchart) with the orchestrator. Reject subagent reports that lack source citations and redeploy.
Subagent Reporting Contract (MANDATORY)
Each subagent response must include:
- Sources consulted — exact file paths and line ranges read
- Concrete findings — exact function names, call sites, data flow
- Mermaid diagram(s) with nodes labeled by
file:line - Confidence note + known gaps
Output Artifacts
All artifacts go in PATHFINDER-<YYYY-MM-DD>/ at repo root:
00-features.md— feature inventory with boundaries01-flowcharts/<feature>.md— one Mermaid flowchart per feature02-duplication-report.md— cross-cutting duplicated concerns with evidence03-unified-proposal.md— proposed unified architecture + Mermaid04-handoff-prompts.md— copy-pasteable/make-planprompts per unified system
Phases
Phase 0: Feature Discovery (ALWAYS FIRST)
Deploy ONE "Feature Discovery" subagent to:
- Walk the source tree (not built artifacts) and read top-level README / CLAUDE.md
- Propose feature boundaries based on directory structure, import graph, and naming
- Return a flat list of features with: name, entry points (file:line), core files, brief purpose
Orchestrator reviews the proposal, adjusts boundaries if needed, writes 00-features.md. Do NOT fan out until feature boundaries are approved.
Phase 1: Per-Feature Flowcharts (FAN OUT)
Deploy ONE "Flowchart" subagent per feature in parallel. Each receives only its feature's scope. Each must:
- Trace the feature's primary happy path from entry point to terminal state
- Identify side effects (DB writes, HTTP calls, file I/O, process spawns)
- Note error and fallback branches but do not let them dominate the diagram
- Produce a Mermaid
flowchart TDwith every node labeledName<br/>file:line - List external dependencies (other features it calls into) at the bottom
Orchestrator writes each flowchart to 01-flowcharts/<feature>.md. Reject any diagram missing file:line labels.
Phase 2: Duplication Hunt
Deploy TWO subagents in parallel:
"Within-Feature Duplication" subagent:
- For each feature, find repeated code/logic patterns inside the feature only
- Report only duplications worth consolidating (ignore trivial repetition)
"Cross-Feature Duplication" subagent:
- Compare flowcharts across features for concerns that appear in multiple places
- Examples of what to look for: multiple capture paths, parallel queue implementations, duplicated storage/migration code, repeated agent scaffolding, parallel parsing layers
- For each duplication, report: (a) the concern, (b) every location with
file:line, (c) why they diverged, (d) whether the divergence is legitimate specialization or accidental
Orchestrator synthesizes both into 02-duplication-report.md. Every duplication claim must cite ≥2 file:line locations.
Phase 3: Unified Proposal (ORCHESTRATOR)
The orchestrator writes 03-unified-proposal.md itself — do not delegate synthesis.
For each duplicated concern from Phase 2 that is NOT legitimate specialization:
- Propose the simplest unified design (one path, one store, one handler — whatever applies)
- Name the consolidated component and its single entry point
- Show what each old call site becomes
- Call out any loss of capability and whether it's acceptable
End the document with ONE combined Mermaid flowchart showing the proposed unified system. Nodes still labeled with target file:line (new or existing) where knowable.
Anti-patterns to reject in your own proposal:
- Adding a new abstraction layer "for flexibility"
- Keeping both old paths behind a feature flag
- Introducing a registry/factory when a switch statement suffices
- Preserving divergent behavior "just in case"
Phase 4: Per-System Handoff Prompts
For each unified system in the proposal, write a ready-to-run /make-plan prompt to 04-handoff-prompts.md. Each prompt must:
- State the target unified component and its single entry point
- List the exact call sites to rewrite (from Phase 2 evidence)
- Cite the relevant flowchart file from
01-flowcharts/ - Include anti-pattern guards specific to this system
Format each as a fenced code block the user can copy directly into /make-plan.
Key Principles
- Evidence over intuition — every diagram node and duplication claim cites
file:line - Current state before ideal state — Phases 0–2 describe what IS; Phase 3 describes what SHOULD BE
- Simplest unification wins — prefer deletion over abstraction; prefer one path over configurable paths
- Specialization is not duplication — two components serving different trust models or data sources are legitimate even if their code looks similar
- Handoff, don't implement — Pathfinder ends at plan prompts;
/make-planand/dotake it from there
Failure Modes to Prevent
- Drawing flowcharts from memory instead of source — redeploy subagent with grep evidence requirement
- Proposing unification of legitimately specialized components — re-examine trust/data-source divergence
- Handoff prompts that lack concrete call sites — rewrite with Phase 2 evidence
- Skipping Phase 0 boundary review — fanning out on bad feature boundaries wastes all of Phase 1
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
