update-my-resume
Skill4 starsChanged 3 months agoMITView on GitHub
WHEN/WHERE/WHO: [Scheduling: Developers or agents analyzing a freshly solved, non-trivial problem to update the user's resume.] HOW: [Structural: Use this SKILL to write a structured entry (WHAT problem, HOW approached, WHAT gained) in both EN and ZH sections.] WHY: [Scheduling: Solving hard problems is valuable, but the value disappears if it is never recorded. Captures verifiable outcomes.]
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The file
Show its rules and text
We split this skill into the rules it gives an agent
26 rules. About 0 are common, 19 are distinctive, and 7 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈19
Distinctive · estimate
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
When this skill is activated, first load skill-common and apply the shared conventions it defines: canonical section order, frontmatter …
- Distinctive: line 28
Do not use this for trivial lookups, one-liner fixes, or routine tasks that any junior developer would handle without thought.
- Distinctive: line 29
Do not fabricate accomplishments.
- Very specific: line 35
If neither location exists, create $HOME/.resume with the minimal structure shown in the Resources section.
- Distinctive: line 62
Transfer Check: Verify the workflow still works for debugging sessions, architecture decisions, and other non-trivial solved problems.
- Distinctive: line 63
Stop Rule: If the conversation does not clearly meet the bar for a resume entry, stop and skip the update.
- Distinctive: line 66
Only record what the conversation actually demonstrates.
- Distinctive: line 68
Keep each entry concise — aim for 3–6 lines per part, enough to be credible but not a narrative essay.
- Distinctive: line 70
Do not overwrite existing resume entries.
- Distinctive: line 71
If the resume file does not exist, create it with the minimal skeleton first, then append.
- Distinctive: line 72
Do not share or transmit the resume file contents to any external service.
- Distinctive: line 75
If anything is unclear, missing, or conflicting — especially which problem to highlight, what the actual verified outcome was, or where the …
- Very specific: line 79
Check for .resume in the current project root.
- Very specific: line 80
If not found, check $HOME/.resume.
- Very specific: line 81
If neither exists, ask the user whether to create $HOME/.resume with the minimal skeleton (see Resources).
- Distinctive: line 91
If the answer to any of these is "no" or "unclear", say so and stop:
- Distinctive: line 104
Keep it ordered: what was tried first, what failed, what worked, and why.
- Distinctive: line 135
Keep the facts identical to the English entry.
- Distinctive: line 138
Run the deterministic validator from the repository root:
- Distinctive: line 142
Do not report success until it exits 0.
- Distinctive: line 143
Read back the appended entries to the user.
- Distinctive: line 145
Ask: "Does this accurately capture what you accomplished?
- Very specific: line 187
Every entry uses a valid --- [YYYY-MM-DD] --- marker.
- Very specific: line 188
Every EN entry contains non-empty Problem → Approach → Outcome → Reuse fields in that order.
- Very specific: line 189
Every ZH entry contains non-empty 问题 → 过程 → 收获 → 复用性 fields in that order.
- Distinctive: line 193
Verify the conversation actually supports the claims in the entry — no inflation.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Update My Resume
Common Contract (Load First)
When this skill is activated, first load skill-common and apply the shared conventions it defines: canonical section order, frontmatter rules, anti-pattern guidance, and the Review In Mind loop in review-in-mind. This skill adds only domain-specific rules below.
Who
Developers or learners who just solved a non-trivial problem or completed a meaningful task and want to capture the demonstrated competency as a verifiable, well-structured resume entry in both English and Chinese.
What
Analyze the current conversation to extract a resume-worthy accomplishment, then write and append a structured entry to both the English and Chinese sections of the user's .resume file. Each entry follows the three-part narrative:
- WHAT problem was met
- HOW the user approached it step by step
- WHAT was gained and evidence that it is useful and repeatable
When
- The user says "update my resume", "add this to my resume", "capture my growth", or "what did I learn today".
- A conversation solved a non-trivial problem that required reasoning, debugging, architecture decisions, or learning a new tool.
- The conversation produced a working, verified solution that could be repeated.
- Do not use this for trivial lookups, one-liner fixes, or routine tasks that any junior developer would handle without thought.
- Do not fabricate accomplishments. Only write what the conversation actually shows.
Where
- Source material: the current conversation and any code, commands, logs, or artifacts it produced.
- Resume file (English):
.resumein the project root, or$HOME/.resumeif no project-level file exists. Look for an[EN]or[English]section header. - Resume file (Chinese): the same file, under a
[ZH]or[中文]section header. If the file has no ZH section yet, create one at the end. - If neither location exists, create
$HOME/.resumewith the minimal structure shown in the Resources section.
Why
- Solving hard problems is valuable, but the value disappears if it is never recorded.
- A resume entry written immediately after the fact is more accurate and more specific than one written from memory weeks later.
- Structured entries (problem → approach → verified outcome) are more convincing to reviewers than vague bullet points.
- Maintaining both EN and ZH versions keeps the record accessible for opportunities in any language context.
- The repeatable-and-useful test forces honest reflection: if the skill cannot be applied again, it may not belong on a resume yet.
Inputs
- The full current conversation (required).
- Code, commands, logs, config snippets, or test results produced during the conversation (optional but strengthens the entry).
- Explicit user feedback on what they consider the most important takeaway (optional).
- Target resume file path override from the user (optional; defaults to project
.resumethen$HOME/.resume).
Output (Logical Evidence)
- A structured resume entry appended to the English section of the
.resumefile. - The same entry, translated and culturally adapted, appended to the Chinese section of the
.resumefile. - A brief summary shown to the user: what was appended, where, and why it qualifies.
- A recommendation to skip the update when the conversation does not meet the bar, with a clear reason.
Optimization Readiness
- Failure Signals: The conversation is inflated into a resume entry, the verified outcome is weak or missing, the narrative drops one of the three required parts, or the entry is not clearly repeatable.
- Evidence To Collect: Conversation logs, verification results, drafted resume entries, validator failures (missing fields, out-of-order fields, invalid dates, EN/ZH date imbalance), and examples showing which outcome was strong enough to be reusable.
- Safe Mutation Boundaries: Refine evaluation questions, narrative framing, and bilingual formatting without changing the core problem→approach→outcome structure.
- Acceptance Criteria: Accept revisions only if the entry is grounded in the conversation, includes verification evidence, mirrors the same facts in English and Chinese, and
scripts/validate_resume_entry.pyexits 0 on the written file. - Rejected Revision Handling: Record inflated accomplishments, unsupported outcomes, and weak repeatability claims so they are not reused.
- Transfer Check: Verify the workflow still works for debugging sessions, architecture decisions, and other non-trivial solved problems.
- Stop Rule: If the conversation does not clearly meet the bar for a resume entry, stop and skip the update.
Constraints (Logical Boundaries)
- Only record what the conversation actually demonstrates. Do not inflate scope.
- Each entry must include all three parts: the problem, the step-by-step approach, and the verified outcome.
- Keep each entry concise — aim for 3–6 lines per part, enough to be credible but not a narrative essay.
- The Chinese entry is a translation and cultural adaptation, not a separate story. Keep the facts identical.
- Do not overwrite existing resume entries. Always append.
- If the resume file does not exist, create it with the minimal skeleton first, then append.
- Do not share or transmit the resume file contents to any external service.
One More Thing
If anything is unclear, missing, or conflicting — especially which problem to highlight, what the actual verified outcome was, or where the resume file lives — stop and ask the user before writing anything.
How (Structural Workflow)
Phase 1: Locate the Resume File
- Check for
.resumein the current project root. - If not found, check
$HOME/.resume. - If neither exists, ask the user whether to create
$HOME/.resumewith the minimal skeleton (see Resources). - Note the file path and remember it for Phases 4 and 5.
Phase 2: Assess Whether the Conversation Qualifies
- Review the conversation for evidence of a non-trivial problem that was actually solved.
- Ask:
- Was there a clear problem or goal that required more than a one-step answer?
- Did the solution require reasoning, iteration, or domain knowledge?
- Is there evidence that the outcome works (test passing, output verified, build succeeding)?
- Could a similar approach be applied to a future problem?
If the answer to any of these is "no" or "unclear", say so and stop:
"This conversation doesn't clearly meet the bar for a resume entry because [reason]. Consider running this skill again after you have a verified, repeatable outcome."
Phase 3: Extract the Three-Part Narrative
Build the narrative from the conversation:
Part 1 — The Problem (WHAT)
- State the problem or goal concisely. Include the domain, the specific challenge, and why it was non-trivial.
- Example: "Diagnosed a race condition in a Go service where concurrent map writes caused intermittent panics under load."
Part 2 — The Approach (HOW)
- Describe the step-by-step reasoning and actions taken. Include tools, commands, and pivots.
- Keep it ordered: what was tried first, what failed, what worked, and why.
- Example: "Added
-raceflag to reproduce the panic reproducibly → identified the shared map withgo tool pprof→ replaced withsync.Map→ re-ran load test to confirm zero panics."
Part 3 — The Outcome (WHAT I GOT)
- State what was gained: the fix, the skill, the understanding.
- Include verification evidence: test results, metrics, code diff, or peer review.
- State why it is repeatable: the same pattern applies to [similar future scenario].
- Example: "Eliminated all race-condition panics under 10× normal load. Pattern is reusable for any shared-state concurrent Go service."
Phase 4: Write the English Entry
Format the entry as follows and append it to the English section of the resume file:
--- [YYYY-MM-DD] ---
Problem: <one-sentence problem statement>
Approach: <ordered steps, separated by " → ">
Outcome: <result + verification evidence>
Reuse: <why this skill applies to future situations>Phase 5: Write the Chinese Entry
Translate and culturally adapt the English entry. Append it to the Chinese ([ZH] / [中文]) section:
--- [YYYY-MM-DD] ---
问题: <一句话描述问题>
过程: <有序步骤,用" → "分隔>
收获: <结果 + 验证证据>
复用性:<为何此技能可应用于未来类似场景>Keep the facts identical to the English entry. Adapt phrasing to feel natural in Chinese rather than literally translated.
Phase 6: Verify and Report
Run the deterministic validator from the repository root:
python3 update-my-resume/scripts/validate_resume_entry.py --resume <path-to-.resume> --date YYYY-MM-DDDo not report success until it exits 0. If it reports FAIL lines, fix the entry and re-run.
- Read back the appended entries to the user.
- Confirm the file path where they were written.
- Ask: "Does this accurately capture what you accomplished? Would you like to adjust any part before we finish?"
- Apply any requested adjustments, then re-run the validator.
Resources
- Minimal
.resumeskeleton to create if no file exists:
[EN]
# My Resume
## Experience & Growth Log
[ZH]
# 我的简历
## 成长与经历记录
- Validator script:
scripts/validate_resume_entry.py— deterministic checks for section presence and order, entry date validity, field completeness and canonical order, and EN/ZH date pairing. Run it in Phase 6 and in Validation below. - Related skills:
save-as-skill— if the conversation also produced a reusable workflow worth preserving as a skillimprove-existing-skill— if an earlier resume entry needs correction after new evidence
Review In Mind (ReviewInMindGenie)
Execute the common review loop in review-in-mind before delivering.
Review lens for this skill:
- Does the entry follow WHAT/HOW/WHAT-was-gained with concrete evidence?
- Is the accomplishment attributable to the user and free of exaggeration?
- Are the English and Chinese sections consistent and formatted per the resume file?
- Does
scripts/validate_resume_entry.pyexit 0 on the written file?
Validation
From the repository root, run:
python3 update-my-resume/scripts/validate_resume_entry.py --resume <path-to-.resume> --date YYYY-MM-DD- The command exits 0 only when all of the following hold:
- The
[EN]/[English]and[ZH]/[中文]sections both exist, in that order. - Every entry uses a valid
--- [YYYY-MM-DD] ---marker. - Every EN entry contains non-empty
Problem→Approach→Outcome→Reusefields in that order. - Every ZH entry contains non-empty
问题→过程→收获→复用性fields in that order. - An entry with the given date exists in both sections.
- The
- Review any WARNING lines (numeric or date-set differences between EN and ZH) and resolve genuine translation drift before delivering.
- Confirm no existing entries were modified or removed — the validator checks the new entry's structure, not file history, so verify this by reading the file back.
- Verify the conversation actually supports the claims in the entry — no inflation.
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