Agent Essentials#
This skill has two jobs:
- Expand capabilities — discover better capability paths before declaring failure.
- Self-improve — capture important lessons and route them to the right durable layer.
Capability Expansion#
Rule: never stop at "I can't" or "no built-in way" without checking for a better capability path.
Triggers — request implies external platform / workflow automation / system integration / repeatable ops / capability gap. Common phrasing: "automate X" / "integrate with X" / "support X platform" / "help me do this in X".
Workflow#
- Detect the gap
- Input: the user's request.
- Test: would solving this same request appear ≥2 times across this user's work? OR does it require a tool/platform not in the loaded skill list?
- Output: a 1-line verdict —
gap: <yes/no> — <which capability is missing>. If no, exit this workflow and answer normally.
- If ambiguous: count yes on { reusable later? / specific platform? / >1 step?}; ≥2 yes → treat as gap.
- Search
- Input: gap verdict + missing-capability keywords from step 1.
- Where: (a) loaded skill list — match name/description/triggers; (b) ClawHub via
https://clawhub.ai/search?q=<keyword>, try 1–3 variants.
- Stop: strong match found OR 3 variants returned nothing.
- Output: 1–3 candidates as
<name> — <one-line value> — <fit: strong/moderate/weak>.
- Act — pause for user confirmation before any of these:
- Installing a skill → show name, source, one-line value, and ask "install? [y/N]" before downloading.
- Creating a new custom skill → show the proposed name + 3-line description and ask before scaffolding.
- Doing the task directly → only this branch may proceed without confirmation, and only if no fallback above is viable.
Self-Improvement#
Rule: when something meaningful is learned, preserve the minimum useful lesson.
Triggers — meaningful failure / user correction / recurring mistake / discovery of a better workflow. Do not log trivial failures or one-off noise.
Workflow#
- Capture
-
Input: the trigger event (failure / correction / insight).
-
Output: a 3-line lesson:
text
What: <what went wrong or was discovered>
Correct: <the actually correct behavior>
Next time: <concrete trigger → action>
-
Reject: can't fit in 3 lines → lesson too vague, sharpen first.
- Route
- Store the learning in the right place:
TypeDestinationConfirm?Session noteDaily memory / learnings file—Workflow ruleAGENTS.md✓Tool gotchaTOOLS.md✓Voice / boundary patternSOUL.md✓User preferenceUSER.md or long-term memory✓Missing capabilitySkill discovery (see above)✓
- For any ✓ row: show the diff and ask "append to ? [y/N]" before writing. Never silently mutate durable files.
-
Promote to durable file only if all hold:
- Recurring — ≥2 occurrences (user saying "Nth time" / "又错了" is proof)
- High-value — non-trivial consequence (broken CI, lost work, wrong user output), not style nits
- Broadly reusable — class of situations, not one specific file/PR
- Rule-preventable — a future-you reading the rule would avoid it
- If any fails, keep in daily memory only.
File Locations#
Resolve durable files in this order — first hit wins:
FileLookup orderAGENTS.md``./AGENTS.md → ~/.claude/AGENTS.md``TOOLS.md``./TOOLS.md → ~/.claude/TOOLS.md``SOUL.md``./SOUL.md → ~/.claude/SOUL.md``USER.md``~/.claude/USER.md (always user-scoped)Daily memory~/.claude/memory/YYYY-MM-DD.md (auto-create if missing)
If none exists and a write is approved, create at the project-root path (or ~/.claude/ for USER.md) and tell the user "creating new file <path>."
Decision Tree#
text
Something notable happened
├─ Capability gap?
│ └─ Search → Recommend → Install or fallback
├─ Lesson worth keeping?
│ └─ Capture → Route → Promote if recurring
└─ Neither
└─ Continue normally
Edge Cases#
- User declines install → fall to "do directly" or "create custom"; do not re-pitch in this session.
- ClawHub unreachable → state failure; rely on local list only; offer retry.
- 2+ candidates tie "strong" → show all + 1-line differentiator and let user pick; never silently choose.
Principles#
- Search before saying "nothing exists." Prefer short learnings over elaborate templates.
- Do not promote one-off lessons. Do not install weak-matching skills just to reduce uncertainty. Do not rewrite major workspace files casually.