reflect
From the author
Per-project self-improvement - reads the .harness ledger and feedback memories, then proposes gated rule/threshold/ADR changes so the project stops repeating mistakes. Run periodically.
Install
npx skills add sneg55/agent-starter --skill reflect -a claude-code
Installs to .claude/skills/reflect/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Safety checks on SKILL.md
No warnings.
Why 80
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
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- lab:autoresearcholiver-kriska/claude-elixir-phoenixSelf-improving loop for plugin skills. Reads program.md, proposes one mutation per iteration, evaluates against deterministic scorer, keeps improvements via git, reverts failures. Targets weakest skill+dimension. Use with /loop for overnight runs.Engineering★ 571
- claude-reflectBayramAnnakov/claude-reflectSelf-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.Other★ 1.9K
- self-improveeai-org/agent-toolkitCapture durable user feedback into the governing skill, doc or check, or propose creating a new skill when no suitable one exists, so future sessions don't repeat the mistake. Use when the user rejects, reverts, or overrides the agent's output or approach on something a skill, doc or check covers or should cover, and when manually invoked to improve or create guidance.Other★ 76
- ank-drifthaksolot/ankAudit the decisions in .ank/ against the current code and report what no longer holds. Use when asked whether ADRs, specs, or tasks are still accurate, after a milestone, or when the corpus and the code seem to disagree.Planning★ 91
- review-agent-harnessmajiayu000/spellbookReview whether a repository's coding-agent harness can reliably carry work from intent through controlled execution, verification, delivery, and learning. Use when asked to assess agent readiness, repeated agent failures, Rules/Skills/Hooks/Memory effectiveness, missing validation or recovery loops, or whether a harness repair improved later outcomes. Do not use for code-only audits, AGENTS-only audits, individual skill reliability reviews, or executing the task itself.Engineering★ 288
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