Install
$ agentstack add skill-patonkikh-apes-template ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
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
[Skill Name]
Purpose
[One sentence: what engineering task this Skill completes and what artifact it produces.]
Input: [Required inputs from user or prior Skills] Output: [Named artifact, e.g. "Validated Problem Statement document"] Examples: See [examples.md](examples.md) for worked input/output (optional).
Workflow
Step 1: Gather inputs
Collect the following from the user or context:
- [Input 1]
- [Input 2]
- [Input 3]
If any required input is missing, stop and request it explicitly. Do not assume values.
Step 2: Analyze
[Describe analysis actions: map assumptions, identify gaps, compare alternatives.]
Step 3: Apply methodology
[Apply the named methodology: e.g. JTBD framing, RICE scoring, INVEST criteria.]
Step 4: Draft output
Produce the result using the Output Structure below.
Step 5: Validate
Run the Validation checklist. Fix all failures before presenting the final result.
Step 6: Recommend next steps
Suggest Skills from the Next Skills section based on the current outcome.
Decision Rules
| Condition | Action | |-----------|--------| | Required input is missing | Stop; list missing items; ask user | | Input contains contradictions | Surface contradictions; ask user to resolve before proceeding | | Multiple valid approaches exist | Present options with trade-offs; ask user to choose | | Result fails Validation | Revise and re-validate; do not deliver incomplete output | | Scope exceeds single task | Split into parts; complete only this Skill's scope |
Validation
Before delivering the result, verify:
- [ ] All required inputs were explicitly provided or confirmed
- [ ] Output follows the Output Structure completely
- [ ] No contradictions remain unresolved
- [ ] No ambiguous terms without definition
- [ ] Result is actionable without additional unstated assumptions
- [ ] [Skill-specific criterion 1]
- [ ] [Skill-specific criterion 2]
Anti-patterns
- Assuming unstated context — inventing user goals, market data, or constraints not provided.
- Role-play filler — generic advice not tied to the methodology.
- Scope creep — implementing tasks that belong to Next Skills (e.g. writing a full PRD when only problem statement is requested).
- Vague output — labels without measurable criteria ("improve UX", "increase engagement").
- Skipping validation — delivering draft without running the checklist.
Best Practices
- State assumptions explicitly in a dedicated section when user confirms them.
- Use concrete examples from the user's domain, not generic placeholders.
- Prefer tables and structured lists over prose paragraphs.
- Reference the methodology by name and apply it consistently.
- Flag risks and open questions in a separate section rather than hiding them.
- Load [examples.md](examples.md) when the user needs a reference output shape.
Output Structure
# [Artifact Title]
## Context
- **Source inputs:** [list]
- **Assumptions:** [list or "none"]
## [Main Section 1]
[Content]
## [Main Section 2]
[Content]
## Open Questions
- [ ] [Question requiring user input]
## Risks
| Risk | Impact | Mitigation |
|------|--------|------------|
| ... | ... | ... |
Next Skills
| Outcome | Recommended Skill | |---------|-------------------| | [Condition A] | [category]/[skill-name] | | [Condition B] | [category]/[skill-name] | | Default next step | [category]/[skill-name] |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: patonkikh
- Source: patonkikh/APES
- 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.