Install
$ agentstack add skill-talont-org-autoskillit-chart-course ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Chart Course — Interactive Strategic Compass Builder
When to Use
- Starting a new project phase and mapping all possible directions
- Project has grown enough that strategic coherence needs explicit tracking
- Understanding how near-term work relates to long-term options
- Updating an existing compass after significant project changes
- Preparing for a planning session and need a current landscape assessment
This is an interactive skill. The user provides vision and priorities; the skill provides codebase analysis, external research, and visualization. The compass is built collaboratively through conversation, not generated autonomously.
Arguments
/chart-course {focus_or_question} [compass_path=]
{focus_or_question}— Required. A broad strategic question or focus area.
Examples: "Map all possible directions for the research platform", "What are our options for distributed compute?", "Where should we invest for compliance readiness?"
compass_path=— Optional. Path to an existing compass document.
When provided, the skill loads the existing compass as the starting point and the conversation focuses on updating, adding, or retiring directions.
GitHub Issue Detection
Scan ARGUMENTS for GitHub issue references (full URL, owner/repo#N, bare #N). If detected, call fetch_github_issue(issue_url, include_comments: true) and incorporate the issue content as additional strategic context.
Critical Constraints
NEVER:
- Modify any source code files — this is a read-only analysis skill
- Create files outside
{{AUTOSKILLIT_TEMP}}/chart-course/ - Dismiss directions the user raises — every direction gets honest assessment
- Use implementation difficulty as a reason to exclude a direction
- Include cost estimates or timelines — map what IS, not what it costs
- Skip diagrams — progressive visualization is the core value of this skill
- Generate the compass document without user review and approval
- Write the final compass to disk until the user confirms (plan-apply pattern)
- Proceed past a checkpoint without user response
ALWAYS:
- Use
model: "sonnet"for all Task tool subagent calls - Initialize code-index via
set_project_pathbefore exploration (Phase 1) - Ask the user before moving to the next phase
- Generate at least one diagram per direction explored
- Ground readiness assessments in actual file paths, protocols, and code patterns
- Include source URLs for all external research claims
- Invoke arch-lens and mermaid skills via the Skill tool (see Skill Loading Checklist)
- Emit output tokens as literal plain text at the end (no markdown formatting on token names)
Skill Loading Checklist
When generating architectural diagrams at any point during the conversation:
- [ ] Determine which arch-lens best fits the aspect being visualized
- [ ] LOAD the corresponding
/autoskillit:arch-lens-*via the Skill tool - [ ] The arch-lens skill will LOAD
/autoskillit:mermaidfor styling - [ ] Diagram uses ONLY classDef styles from the mermaid skill (no invented colors)
- [ ] Color legend table included
- [ ] Every new or proposed component is wired into the call chain
If the Skill tool cannot invoke a sub-skill (disable-model-invocation or unavailable), produce the diagram directly using mermaid syntax with the standard classDef palette and note the fallback.
For custom diagrams not covered by an arch-lens (timelines, dependency graphs, comparison matrices), LOAD /autoskillit:mermaid directly via the Skill tool and produce the diagram using its styling conventions.
Workflow
The workflow is organized into phases. Each phase ends with a user checkpoint. Do not proceed to the next phase until the user responds.
Phase 1: Codebase Survey (automated)
Step 1.1: Code-Index Initialization
mcp__code-index__set_project_path(path="{PROJECT_ROOT}")
Fall back to native Glob/Grep if unavailable.
Step 1.2: Load Existing Compass (if compass_path provided)
If compass_path was provided:
- Verify file exists with Glob
- Read the document
- Extract the
---compass-data---YAML block - Parse existing directions — these become the baseline
- Present to user: "Found existing compass with N directions. I'll
re-evaluate each against the current codebase."
Step 1.3: Launch Parallel Exploration Subagents
Launch ALL concurrently in a single message. Every subagent uses model: "sonnet".
Subagent A: Architecture & Extension Points Explore protocol definitions, plugin points, layering (L0/L1/L2/L3), TODO/PLANNED/FIXME comments, stub implementations, and configuration points. Return: extension points with file paths and what capability each is designed to support.
Subagent B: Current Capability Inventory Catalog all MCP tools, skills (by tier and category), recipes, hooks, CLI commands, and run_python callables. Note dependencies between them. Return: structured capability list.
Subagent C: Growth Limitations & Technical Debt Find hardcoded values, platform assumptions, scaling bottlenecks, tight coupling, missing abstractions, and test gaps. Return: categorized limitations with which areas of growth they would affect.
Subagent D: External Landscape Research (Web Search) Research the domain indicated by focus_or_question: competitors, adjacent tools, industry trends, emerging standards, regulations. Return: landscape summary with source URLs.
Subagent E: Dependency & Coupling Map Map import graph between top-level packages, co-change coupling from git history, cross-layer violations, circular dependencies. Return: dependency map with coupling scores.
Subagent F: Existing Strategic Context Search {{AUTOSKILLIT_TEMP}}/ and docs/ for existing strategy docs, research reports, roadmaps. Read last 50 git commits for thematic patterns. Check GitHub issues for strategic labels. Return: summary of existing context and themes.
Additional subagents may be launched for any other dimensions the focus question or codebase warrants. The above are the mandatory minimum.
Step 1.4: Present Initial Landscape
After all subagents complete, synthesize findings into a concise briefing:
- Architecture snapshot — key layers, extension points, what's flexible
vs. rigid. Generate a C4 Container diagram using: `` LOAD /autoskillit:arch-lens-c4-container via Skill tool ``
- Capability map — what the project can do today
- Growth edges — where the architecture is designed for extension
vs. where it would resist change. Generate a Module Dependency diagram: `` LOAD /autoskillit:arch-lens-module-dependency via Skill tool ``
- External landscape highlights — what others are doing, key trends
- Existing strategic context — what prior work tells us about direction
Checkpoint 1
Present the landscape briefing with both diagrams and ask:
> "Here's where the project stands architecturally. What directions are > you thinking about? What's your vision for where this could go? > I'll analyze each direction you describe against the codebase."
Wait for user response before proceeding.
Phase 2: Direction Exploration (interactive loop)
This phase repeats for each direction the user describes. The user may describe one direction at a time or several at once.
Step 2.1: Capture the Direction
From the user's description, extract:
- A short name for the direction
- What it would entail (capability, architecture change, domain expansion, etc.)
- Any stated dependencies or prerequisites
Step 2.2: Analyze Fit
For each direction, launch targeted analysis:
Subagent: Codebase Fit Analysis (model: "sonnet")
- Where in the architecture would this connect?
- What existing protocols, abstractions, or extension points support it?
- What would need to change to accommodate it?
- What existing capabilities does it build on?
- What would it conflict with or make harder?
Subagent: External Research (model: "sonnet", web search)
- How do other projects in this space handle this?
- Are there standards, libraries, or patterns to adopt?
- What pitfalls have others encountered?
Launch additional subagents as needed for any other aspects the direction requires — regulatory implications, performance profiling, integration patterns, etc.
Step 2.3: Generate Direction Diagram
Select the most appropriate arch-lens for this direction and LOAD it:
| Direction type | Arch-lens to use | |----------------|------------------| | New execution path or workflow | arch-lens-process-flow | | Data pipeline or storage | arch-lens-data-lineage | | New module or component | arch-lens-c4-container | | API or integration boundary | arch-lens-security | | Parallel execution / scaling | arch-lens-concurrency | | Infrastructure / deployment | arch-lens-deployment | | State management / lifecycle | arch-lens-state-lifecycle | | Error handling / resilience | arch-lens-error-resilience | | Developer tooling / CI | arch-lens-development | | Operational / monitoring | arch-lens-operational | | Data access patterns | arch-lens-repository-access | | Cross-component scenarios | arch-lens-scenarios | | Coupling / dependency | arch-lens-module-dependency |
Mark proposed/new components distinctly in the diagram (use the newComponent classDef from the mermaid skill palette and the ★ symbol).
If the direction involves experimental or research aspects, also consider loading an appropriate exp-lens for dimensional analysis.
Step 2.4: Present Direction Analysis
Present to the user:
- Fit assessment — how this direction connects to existing architecture
- Readiness score — ready / partial / planned / concept, with evidence
- Architecture diagram — showing where this plugs in (new components highlighted)
- External landscape — what others do, relevant standards
- Dependencies — what must exist first
- Tensions — what this would make harder or conflict with
Step 2.5: Refine with User
Ask:
> "Here's how [direction name] would fit. Does this match your thinking? > Any aspects I should dig deeper into? Or shall we explore the next direction?"
The user may:
- Refine the direction (re-analyze with updated description)
- Ask to dig deeper into a specific aspect (launch focused subagents)
- Ask for additional diagrams from different perspectives
- Move to the next direction
- Go back and revise a previous direction
Adapt to whatever the user needs. Repeat Steps 2.1–2.5 for each new direction.
Checkpoint 2
After the user has described all directions they want to explore (or says they're ready to proceed), ask:
> "We've explored N directions so far. Ready for me to map the > relationships between them — what enables what, what conflicts, > and where the strategic fork points are?"
Wait for user response.
Phase 3: Relationship Mapping (automated with user review)
Step 3.1: Build Direction Catalog
From all explored directions, compile the full catalog. For each direction:
| Field | Source | |-------|--------| | id | Assign D{NNN} IDs (preserve existing IDs in update mode) | | name | From user description (confirmed in Phase 2) | | category | One of: architecture, capability, domain-expansion, compliance, performance, developer-experience, integration, infrastructure | | description | 2-3 sentences from Phase 2 analysis | | readiness | ready / partial / planned / concept — from Phase 2 fit assessment | | readiness_evidence | Specific file paths and code patterns from Phase 2 | | dependencies | Direction IDs that must come first | | enables | Direction IDs that become easier after this | | conflicts | Direction IDs that become harder after this | | signals | Files, grep patterns, modules relevant to this direction | | priority | high / medium / low / exploratory — ask user if not clear |
Step 3.2: Map Dependencies and Conflicts
For each pair of directions, assess:
- Does pursuing A make B easier? (enables)
- Does pursuing A require B first? (depends-on)
- Does pursuing A make B harder? (conflicts)
Use codebase evidence — shared protocols, module boundaries, test infrastructure, configuration coupling.
Step 3.3: Generate Path Dependency Graph
LOAD /autoskillit:mermaid via the Skill tool and produce a custom flowchart showing all directions and their relationships:
- Nodes = directions, colored by readiness (ready=green, partial=yellow,
planned=blue, concept=gray)
- Green solid edges = enables
- Blue dashed edges = depends-on
- Red dotted edges = conflicts
- Label each node with ID + short name
Annotate the diagram with:
- Bottleneck directions — high fan-out of enables edges (mark with
★) - Fork points — conflicting direction pairs (mark with
⚡) - Clusters — mutually-reinforcing groups (visual grouping via subgraph)
Step 3.4: Generate Timeline / Sequencing Diagram
LOAD /autoskillit:mermaid via the Skill tool and produce a Gantt-style or swim-lane diagram showing a natural sequencing of directions based on dependency order:
- Foundations first (directions others depend on)
- Independent directions shown in parallel
- Late-stage directions that depend on many prerequisites shown last
- Fork points shown as decision nodes
This is NOT a timeline with dates — it is a dependency-ordered sequence showing what COULD come before what.
Step 3.5: Present Relationship Map
Present to the user:
- Direction catalog table — all directions with readiness and priority
- Path dependency graph — mermaid diagram
- Sequencing diagram — dependency-ordered view
- Bottleneck analysis — which directions unlock the most others
- Fork points — where strategic choices must be made
- Cluster analysis — groups of mutually-reinforcing directions
Checkpoint 3
Ask:
> "Here's how all the directions relate to each other. Do these > relationships look right? Any dependencies or conflicts I missed? > Any priorities you want to adjust before I assemble the compass?"
Wait for user to review and confirm or request adjustments. If adjustments needed, revise and re-present.
Phase 4: Current Trajectory Assessment
Step 4.1: Analyze Recent Work
Using git log and any available PR/issue data:
- Read last 30-50 commits
- Map commits to directions (which directions does recent work advance?)
- Identify drift — work that moves away from stated priorities
- Identify any inadvertent path narrowing
Step 4.2: Generate Trajectory Overlay
LOAD /autoskillit:mermaid via the Skill tool and produce a variant of the path dependency graph with trajectory annotations:
- Directions being actively advanced: bold border
- Directions with no recent movement: dashed border
- Directions being drifted from: red highlight
Step 4.3: Present Trajectory
Present the trajectory assessment with the annotated diagram and a brief narrative about where the project is currently headed vs. where the compass says it could go.
Checkpoint 4
Ask:
> "This is where recent work has been heading. Ready for me to > assemble the full compass document?"
Phase 5: Compass Assembly (plan-apply pattern)
Step 5.1: Draft the Compass
Assemble the full compass document in memory with these sections:
- Strategic Focus — the question that drove this compass
- Executive Summary — 3-5 bullets on current state + trajectory
- Direction Catalog — full table + detailed per-direction subsections
- Path Dependency Graph — mermaid diagram from Phase 3
- Sequencing Diagram — from Phase 3
- Trajectory Overlay — from Phase 4
- Cluster Analysis — mutually-reinforcing direction groups
- Fork Points — strategic choices requiring decisions
- Bottleneck Directions — high-leverage unlock points
- **Current Traject
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TalonT-Org
- Source: TalonT-Org/AutoSkillit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.