discover
Skill6 starsChanged 14 days agoApache-2.0View on GitHub
Find latent patterns, relationships, anomalies, or insights not explicitly specified. Use when exploring unknown structure, finding hidden connections, or uncovering emergent phenomena.
57 other projects use a version of this.
Adopted by
Most recently taken up by
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
- charles-adedotun/sre-plugintheir own version, first seen Nov 8, 2026
- rajanrx/skillstheir own version, first seen Nov 8, 2026
- joeldevz/skynex-pitheir own version, first seen Nov 8, 2026
- AsiaOstrich/EngramGraphtheir own version, first seen Nov 8, 2026
- islandhopper81/claude-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use daily-arxiv, exp-eval and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
phanghonghaoSkillposter
HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.
Also in 4 projects that use this
- +6 more from Lambenthan
- +1 more from skyllwt
Other versions57 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 57
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
- PKU-DAIR/AutoSci★ 1.7ksame name
- skyllwt/AutoSci★ 1.7ksame name
- suboss87/FDEOps★ 940same name
- anombyte93/prd-taskmaster★ 608same name
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
47 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository42 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- attributeSkill
- auditSkill
- gap-analysis-workflowSkill
- checkpointSkill
- classifySkill
- compareSkill
- constrainSkill
- critiqueSkill
- debug-workflowSkill
- decomposeSkill
- delegateSkill
- detectSkill
- digital-twin-bootstrapSkill
- digital-twin-sync-workflowSkill
- discover-capabilitiesSkill
- executeSkill
- explainSkill
- generateSkill
- groundSkill
- inquireSkill
- integrateSkill
- invokeSkill
- measureSkill
- mutateSkill
- observeSkill
- persistSkill
- perspective-validationSkill
- planSkill
- predictSkill
- recallSkill
- receiveSkill
- retrieveSkill
- rollbackSkill
- searchSkill
- sendSkill
- simulateSkill
- stateSkill
- synchronizeSkill
- transformSkill
- transitionSkill
- verifySkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 5 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 50 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 42
Apply discovery heuristics: Use exploration strategies systematically
- Distinctive: line 43
Pattern mining: Look for recurring structures, naming conventions, code patterns
- Distinctive: line 236
Verification tools: Read (to verify locations), Grep (to confirm patterns exist)
- Distinctive: line 246
Do not modify any files during discovery
- Very specific: line 265
Never use discover for known-item retrieval (use search)
- Very specific: line 266
Avoid discover for existence checking (use detect)
- Distinctive: line 267
Do not use discover when you already know what to find
“Common” is measured: kept by at least 6 in 10 of the 50 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Intent
Explore data or systems to find patterns, relationships, or anomalies that were not explicitly requested or expected. Discovery is open-ended exploration that surfaces novel insights rather than confirming hypotheses.
Success criteria:
- At least one non-obvious finding surfaced
- Significance level assigned to each discovery
- Novelty classified (known, suspected, surprising)
- Methodology documented for reproducibility
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
data | Yes | any | Data to explore |
constraints | No | object | Bounds on exploration (time, scope, depth) |
method | No | string | Discovery approach |
Inputs not listed here are outside the capability's contract: a workflow step that binds them gets W604 (STANDARD v1.1 §5.5).
Procedure
- Define search space boundaries: Establish what is in and out of scope
- File patterns, directories, or data sources
- Conceptual boundaries (domain, time range)
- Depth limits (how many hops of relationships)
- Apply discovery heuristics: Use exploration strategies systematically
- Pattern mining: Look for recurring structures, naming conventions, code patterns
- Relationship mapping: Find connections between entities (imports, calls, references)
- Anomaly detection: Identify outliers, inconsistencies, unusual structures
- Gap analysis: Find missing elements, broken links, incomplete patterns
- Assess significance: Evaluate each finding's importance
- High: Directly actionable or explains important behavior
- Medium: Useful context or potential issue
- Low: Interesting but not actionable
- Classify novelty: Determine how surprising each discovery is
- Known: Documented or widely understood
- Suspected: Hypothesized but not confirmed
- Surprising: Unexpected or counter to assumptions
- Identify entities involved: Link discoveries to specific entities
- Files, functions, classes, modules
- People, teams, systems
- Concepts, patterns, architectures
- Ground claims: Attach evidence anchors to all discoveries
- Exact locations where patterns occur
- References to related documentation
- Synthesize findings: Connect individual discoveries into coherent insights
Output Contract
Return a structured object:
patterns: # Discovered patterns (also gaps and opportunities)
- type: pattern | gap | opportunity
description: string # What was discovered
significance: low | medium | high
novelty: known | suspected | surprising
entities_involved: array[string]
location: string # Where found (file:line, path, or reference)
relationships: # Found relationships between entities (same item shape, without type)
- description: string
significance: low | medium | high
novelty: known | suspected | surprising
entities_involved: array[string]
location: string
anomalies: # Unusual findings (same item shape, without type)
- description: string
significance: low | medium | high
novelty: known | suspected | surprising
entities_involved: array[string]
location: string
methodology: string # How discovery was conducted
search_space: string # What was explored
confidence: number # 0.0-1.0 confidence in discoveries
evidence_anchors: array[string] # References to supporting evidence
assumptions: array[string] # Conditions that affect findingsField Definitions
| Field | Type | Description |
patterns | array<object> | Discovered patterns, gaps and opportunities (empty when none) |
patterns[].type | enum | pattern, gap or opportunity |
relationships | array<object> | Connections found between entities |
anomalies | array<object> | Outliers, inconsistencies, unusual structures |
*[].significance | enum | Importance level (every discovery) |
*[].novelty | enum | How unexpected the finding is (every discovery) |
methodology | string | Exploration approach used |
search_space | string | Scope of exploration |
confidence | number | 0.0-1.0 overall discovery confidence |
evidence_anchors | array[string] | References to evidence |
assumptions | array[string] | Conditions that could change findings |
Examples
Example 1: Discover Hidden Dependencies
Input:
data: "src/"
method: "relationship"
constraints:
max_depth: 3
focus: "imports and function calls"Output:
patterns:
- type: "pattern"
description: "All repository classes follow identical initialization pattern with DI container lookup"
significance: medium
novelty: known
entities_involved:
- "src/repositories/*.ts"
location: "src/repositories/"
- type: "gap"
description: "No unit tests for critical OrderValidation module"
significance: high
novelty: surprising
entities_involved:
- "src/validation/OrderValidation.ts"
location: "tests/ - no corresponding test file"
relationships:
- description: "Circular dependency between UserService and AuthService"
significance: high
novelty: surprising
entities_involved:
- "src/services/UserService.ts"
- "src/services/AuthService.ts"
location: "src/services/UserService.ts:12 imports AuthService; src/services/AuthService.ts:8 imports UserService"
anomalies:
- description: "PaymentService bypasses standard error handling pattern used by all other services"
significance: high
novelty: suspected
entities_involved:
- "src/services/PaymentService.ts"
location: "src/services/PaymentService.ts:45-78"
methodology: "Static analysis of import statements, grep for class instantiation patterns, comparison against test file naming conventions"
search_space: "src/ directory (156 TypeScript files)"
confidence: 0.85
evidence_anchors:
- "src/services/UserService.ts:12"
- "src/services/AuthService.ts:8"
- "src/services/PaymentService.ts:45"
- "tests/:directory-listing"
assumptions:
- "Standard TypeScript import resolution"
- "Test files follow *Spec.ts or *.test.ts convention"
- "All production code is in src/"Evidence pattern: Grep for import statements, build dependency graph, compare patterns across files.
Example 2: Discover Architecture Patterns
Input:
data: "entire codebase"
method: "pattern"Seed observation: some endpoints seem to share similar structure.
Output:
patterns:
- type: "pattern"
description: "Three distinct architectural styles coexist: MVC in /admin, DDD in /core, and script-style in /legacy"
significance: high
novelty: suspected
entities_involved:
- "/admin/*"
- "/core/*"
- "/legacy/*"
location: "Repository-wide directory structure"
- type: "opportunity"
description: "MVC controllers in /admin could be consolidated - 12 controllers have nearly identical CRUD patterns"
significance: medium
novelty: known
entities_involved:
- "/admin/controllers/*.ts"
location: "/admin/controllers/"
relationships:
- description: "DDD bounded contexts in /core share a common anti-corruption layer for legacy integration"
significance: medium
novelty: surprising
entities_involved:
- "/core/adapters/legacy/"
location: "/core/adapters/legacy/*.ts"
anomalies: []
methodology: "Directory structure analysis, pattern matching on file organization, code similarity detection"
search_space: "Full repository (312 files, 4 top-level directories)"
confidence: 0.75
evidence_anchors:
- "/admin/controllers/:pattern-sample"
- "/core/domain/:ddd-structure"
- "/core/adapters/legacy/LegacyAdapter.ts:1-50"
assumptions:
- "Directory structure reflects intentional architecture"
- "Pattern differences are deliberate, not accidental"Verification
- Each discovery is filed under
patterns,relationshipsoranomalies, with significance and novelty classified - At least one discovery has evidence_anchors
- Methodology is documented and reproducible
- Search space boundaries are clearly defined
- Surprising discoveries are supported by multiple evidence points
Verification tools: Read (to verify locations), Grep (to confirm patterns exist)
Safety Constraints
mutation: falserequires_checkpoint: falserequires_approval: falserisk: low
Capability-specific rules:
- Do not modify any files during discovery
- Respect scope boundaries - do not explore outside the bounds set by
dataandconstraints - Flag discoveries that may reveal sensitive information
- Report uncertainty when findings could be coincidental
Composition Patterns
Commonly follows:
inspect- Discovery often follows initial system observationsearch- Discovery extends search resultsidentify- Discovery finds relationships between identified entities
Commonly precedes:
identify- Discovered entities may need identificationestimate- Discovered patterns may need quantificationcompare- Discovered options may need comparisonplan- Discoveries may trigger action planning
Anti-patterns:
- Never use discover for known-item retrieval (use
search) - Avoid discover for existence checking (use
detect) - Do not use discover when you already know what to find
Workflow references:
- See
reference/composition_patterns.md#capability-gap-analysisfor discover-relationship usage - See
reference/composition_patterns.md#world-model-buildfor discovery in modeling
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

