Use when the user explicitly sets an Aegis goal with /aegis-goal, Aegis goal:, or asks to define goal, success evidence, stop condition, or task boundaries before work.
npx skills add https://github.com/GanyuanRan/Aegis --skill goal-framing
Use this skill to create a thin goal frame before execution. It is opt-in and
boundary-setting only.
Do not use it for tiny edits, one-command checks, or ordinary fast-path Q&A
unless the user explicitly asks for /aegis-goal or Aegis goal:.
Current owner:
Not owned here:
GateDecisionTreat these as equivalent:
/aegis-goal <task description>Aegis goal: <task description>Slash commands are optional host shortcuts. The natural-language form is the
portable fallback.
Example:
Aegis goal: Fix the auth refresh bug without rewriting the auth system.
Produce the smallest useful frame, then continue into the routed workflow in
the same turn.
TaskIntentDraft:
- Requested outcome:
- Goal:
- Success evidence:
- Stop condition:
- Non-goals:
- Constraints:
- Scope:
- Risk hints:
- Aegis Visibility:
- Route:
- Next:
Default behavior:
TaskIntentDraft.Next action for the selectedroute when the user asked to do the work.
large internal-looking card unless the user asked for a formal frame.
Aegis Visibility to say why the goal frame constrains the route, stopcondition, or non-goals. Do not add trace ceremony unless the user explicitly
asks for auditability.
Frame-only behavior:
only define the stop condition, not execute, not implement, not write a plan,
or wait for confirmation before continuing.
blocked rather than pretending to continue.
Stop condition must distinguish:
State set: done, blocked, needs-verification, scope-exceeded.
done: success evidence is satisfiedblocked: required dependency, permission, or information is missingneeds-verification: implementation exists but evidence is insufficientscope-exceeded: continuing would exceed the goal or non-goalsAfter framing:
brainstormingwriting-planslong-task-continuation
systematic-debugging| Goal signal | Route |
| --- | --- |
| single-owner, low-risk, clear verification | fast path or test-driven-development |
| bug, failure, regression, unexpected behavior | systematic-debugging |
| ambiguous product, architecture, contract, cross-module behavior | brainstorming |
| approved spec, stable requirements, implementation slicing | writing-plans |
| multi-step, compaction-prone, handoff, subagent work | long-task-continuation |
| completion, release, handoff, "is this done?" | verification-before-completion |
Only create docs/aegis/ records when the routed workflow needs persistent
evidence. Goal framing alone does not create project files.
When delegating work, pass a compact packet instead of the full conversation:
SubagentContextPacket:
- Task:
- Goal:
- Stop condition:
- Relevant baseline refs:
- Relevant files:
- Known facts:
- Unknowns:
- Non-goals:
- Expected output:
- Verification expected:
- Must-read excerpts:
- Unsafe assumptions:
The packet reduces repeated file reading, but it does not replace evidence.
Subagents should still read the smallest raw file/log/test excerpt needed to
verify critical facts.
Do not paste full chat transcripts, full session history, or unbounded logs into
the packet. If a fact matters, include a file ref, line/window hint, or compact
must-read excerpt.
If the goal changes mid-task, do not silently overwrite it. Record old goal,
new goal, changed scope, new risks, and route through DriftCheckDraft when a
long-task record exists.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take ganyuanran/goal-framing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.